Contributed by Xiachong Feng, Yichong Huang (Factual Consistency), Haozheng Yang (Multi-Document)
This repo contains a list of summarization papers including various topics. If any error, please open an issue.
For summarization, Text Summarization Papers is one great project powered by Dr. Pengfei Liu.
For more topics, please refer to another repo xcfcode/What-I-Have-Read, including Meta Learning, Graph Neural Networks (GNN), Knowledge Distillation, Pre-trained Language Models, Natural Language Generation and several survey and paper slides. Other excellent Repos: xcfcode/covid19-nlp-papers, yizhen20133868/NLP-Conferences-Code, thunlp/PromptPapers, teacherpeterpan/Question-Generation-Paper-List, thunlp/PLMpapers, thu-coai/PaperForONLG, NiuTrans/ABigSurvey.
Alphabetical order
Alexander R. Fabbri, Fei Liu, Jiacheng Xu, Ming Zhong, Mohit Bansal, Piji Li, Pengfei Liu, Shiyue Zhang, Yue Dong, Yang Liu ......
summarization.bib (based on yuchenlin/rebiber)
- [NEW] 对话摘要最新进展简述
- [NEW] Dialogue Summarization
- [NEW] 融入常识知识的生成式对话摘要
- [NEW] 会议摘要有难度？快来引入对话篇章结构信息
- 文本摘要论文列表(Chinese)
- 事实感知的生成式文本摘要(Chinese)
- 多模态摘要简述(Chinese)
- 文本摘要简述
- Multi-modal Summarization
- ACL20 Summarization
- 文本摘要简述 (Chinese)
- ACL19 Summarization
- Brief intro to summarization (Chinese)
- EMNLP19 Summarization (Chinese)
- ACL19-A Simple Theoretical Model of Importance for Summarization
- ACL19-Multimodal Abstractive Summarization for How2 Videos
- EXPLAINABOARD: An Explainable Leaderboard for NLP Pengfei Liu, Jinlan Fu, Yang Xiao, Weizhe Yuan, Shuaichen Chang, Junqi Dai, Yixin Liu, Zihuiwen Ye, Graham Neubig [pdf] [ExplainaBoard]
- GLGE: A New General Language Generation Evaluation Benchmark Dayiheng Liu, Yu Yan, Yeyun Gong, Weizhen Qi, Hang Zhang, Jian Jiao, Weizhu Chen, Jie Fu, Linjun Shou, Ming Gong, Pengcheng Wang, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Ruofei Zhang, Winnie Wu, Ming Zhou, Nan Duan [pdf] [benchmark]
- A Survey on Dialogue Summarization: Recent Advances and New Frontiers Xiachong Feng, Xiaocheng Feng, Bing Qin [pdf]
- Pretrained Language Models for Text Generation: A Survey Junyi Li, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen
IJCAI21[pdf] - A Survey of Recent Abstract Summarization Techniques Diyah Puspitaningrum
ICICT21[pdf] - A Survey of the State-of-the-Art Models in Neural Abstractive Text Summarization AYESHA AYUB SYED, FORD LUMBAN GAOL, TOKURO MATSUO [pdf]
- Automatic summarization of scientific articles: A survey Nouf Ibrahim Altmami, Mohamed El Bachir Menai
Journal of King Saud University - Computer and Information Sciences[pdf] - Multi-document Summarization via Deep Learning Techniques: A Survey Congbo Ma, Wei Emma Zhang, Mingyu Guo, Hu Wang, Quan Z. Sheng [pdf]
- Deep Learning Based Abstractive Text Summarization: Approaches, Datasets, Evaluation Measures, and Challenges Dima Suleiman, Arafat A. Awajan [pdf]
- A Survey of Knowledge-Enhanced Text Generation Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang [pdf]
- From Standard Summarization to New Tasks and Beyond: Summarization with Manifold Information Shen Gao, Xiuying Chen, Zhaochun Ren, Dongyan Zhao, Rui Yan
IJCAI20[pdf] - Neural Abstractive Text Summarization with Sequence-to-Sequence Models Tian Shi, Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy [pdf]
- A Survey on Neural Network-Based Summarization Methods Yue Dong [pdf]
- Automated text summarisation and evidence-based medicine: A survey of two domains Abeed Sarker, Diego Molla, Cecile Paris [pdf]
- Automatic Keyword Extraction for Text Summarization: A Survey Santosh Kumar Bharti, Korra Sathya Babu [pdf]
- Text Summarization Techniques: A Brief Survey Mehdi Allahyari, Seyedamin Pouriyeh, Mehdi Assefi, Saeid Safaei, Elizabeth D. Trippe, Juan B. Gutierrez, Krys Kochut [pdf]
- Recent automatic text summarization techniques: a survey Mahak Gambhir, Vishal Gupta [pdf]
- fastnlp/fastSum [code]
- Graph4NLP [code] [summarization]
- CTRLsum: Towards Generic Controllable Text Summarization [pdf] [code]
- OpenNMT-py: Open-Source Neural Machine Translation [pdf] [code]
- Fairseq: Facebook AI Research Sequence-to-Sequence Toolkit written in Python. [code]
- LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization Tian Shi, Ping Wang, Chandan K. Reddy
NAACL19[pdf] [code] - TransformerSum [code]
- How well do you know your summarization datasets? Priyam Tejaswin, Dhruv Naik, Pengfei Liu
Findings of ACL 2021[pdf] [code] - Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution Jiacheng Xu, Greg Durrett
ACL2021[pdf] [code] - To Point or Not to Point: Understanding How Abstractive Summarizers Paraphrase Text Matt Wilber, William Timkey, Marten Van Schijndel
Findings of ACL 2021[pdf] [code] - What Makes a Good Summary? Reconsidering the Focus of Automatic Summarization Maartje ter Hoeve, Julia Kiseleva, Maarten de Rijke [pdf]
- Intrinsic Evaluation of Summarization Datasets Rishi Bommasani, Claire Cardie
EMNLP20[pdf] - Metrics also Disagree in the Low Scoring Range: Revisiting Summarization Evaluation Metrics Manik Bhandari, Pranav Gour, Atabak Ashfaq, Pengfei Liu
COLING20 Short[pdf] [code] - At Which Level Should We Extract? An Empirical Analysis on Extractive Document Summarization Qingyu Zhou, Furu Wei, Ming Zhou
COLING20[pdf] - Corpora Evaluation and System Bias detection in Multi Document Summarization Alvin Dey, Tanya Chowdhury, Yash Kumar, Tanmoy Chakraborty
Findings of EMNLP[pdf] - Understanding the Extent to which Summarization Evaluation Metrics Measure the Information Quality of Summaries Daniel Deutsch, Dan Roth [pdf] [code]
- Understanding Neural Abstractive Summarization Models via Uncertainty Jiacheng Xu, Shrey Desai, Greg Durrett
EMNLP20 Short[pdf] [code] - Re-evaluating Evaluation in Text Summarization Manik Bhandari, Pranav Gour, Atabak Ashfaq, Pengfei Liu, Graham Neubig
EMNLP20[pdf] [code] - CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems Yiran Chen, Pengfei Liu, Ming Zhong, Zi-Yi Dou, Danqing Wang, Xipeng Qiu, Xuanjing Huang
EMNLP20[pdf] [code] - What Have We Achieved on Text Summarization? Dandan Huang, Leyang Cui, Sen Yang, Guangsheng Bao, Kun Wang, Jun Xie, Yue Zhang
EMNLP20[pdf] - Conditional Neural Generation using Sub-Aspect Functions for Extractive News Summarization Zhengyuan Liu, Ke Shi, Nancy F. Chen
Findings of EMNLP20[pdf] - Extractive Summarization as Text Matching Ming Zhong, Pengfei Liu, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang
ACL20[pdf] [code] - Neural Text Summarization: A Critical Evaluation Wojciech Kryściński, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher
EMNLP19[pdf] - Earlier Isn’t Always Better:Sub-aspect Analysis on Corpus and System Biases in Summarization Taehee Jung, Dongyeop Kang, Lucas Mentch, Eduard Hovy
EMNLP19[pdf] [code] - A Closer Look at Data Bias in Neural Extractive Summarization Models Ming Zhong, Danqing Wang, Pengfei Liu, Xipeng Qiu, Xuanjing Huang
EMNLP19 Workshop[pdf] - Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses Matt Grenander, Yue Dong, Jackie Chi Kit Cheung, Annie Louis
EMNLP19 Short[pdf] - Searching for Effective Neural Extractive Summarization: What Works and What's Next Ming Zhong, Pengfei Liu, Danqing Wang, Xipeng Qiu, Xuanjing Huang
ACL19[pdf] [code] - Content Selection in Deep Learning Models of Summarization Chris Kedzie, Kathleen McKeown, Hal Daumé III
EMNLP18[pdf] [code]
- Principled Approaches to Automatic Text Summarization Maxime Peyrard [pdf]
- Neural Text Summarization and Generation Piji Li [pdf]
- RefSum: Refactoring Neural Summarization Yixin Liu, Zi-Yi Dou, Pengfei Liu
NAACL21[pdf] [code] - Principled Approaches to Automatic Text Summarization Maxime Peyrard [pdf]
- KLearn: Background Knowledge Inference from Summarization Data Maxime Peyrard, Robert West
Findings of EMNLP20[pdf] [code] - A Simple Theoretical Model of Importance for Summarization Maxime Peyrard
ACL19[pdf] - BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle Peter West, Ari Holtzman, Jan Buys, Yejin Choi
EMNLP19[pdf] [code]
A Survey on Dialogue Summarization: Recent Advances and New Frontiers Xiachong Feng, Xiaocheng Feng, Bing Qin [pdf]
- DialSumm: A Real-Life Scenario Dialogue Summarization Dataset Yulong Chen, Yang Liu, Liang Chen, Yue Zhang
Findings of ACL21[pdf] [data] - ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining Alexander R. Fabbri, Faiaz Rahman, Imad Rizvi, Borui Wang, Haoran Li, Yashar Mehdad, Dragomir Radev
ACL2021[pdf] [code] - MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization Chenguang Zhu, Yang Liu, Jie Mei, Michael Zeng
NAACL21[pdf] [code] - QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization Ming Zhong, Da Yin, Tao Yu, Ahmad Zaidi, Mutethia Mutuma, Rahul Jha, Ahmed Hassan Awadallah, Asli Celikyilmaz, Yang Liu, Xipeng Qiu, Dragomir Radev
NAACL21[pdf] [data] - Storytelling with Dialogue: A Critical Role Dungeons and Dragons Dataset Revanth Rameshkumar, Peter Bailey
ACL20[pdf] [data] - SumTitles: a Summarization Dataset with Low Extractiveness Valentin Malykh, Konstantin Chernis, Ekaterina Artemova, Irina Piontkovskaya
COLING20[pdf] [code] - Summarizing Medical Conversations via Identifying Important Utterances Yan Song, Yuanhe Tian, Nan Wang, Fei Xia
COLING20[pdf] [code] - GupShup: An Annotated Corpus for Abstractive Summarization of Open-Domain Code-Switched Conversations Laiba Mehnaz, Debanjan Mahata, Rakesh Gosangi, Uma Sushmitha Gunturi, Riya Jain, Gauri Gupta, Amardeep Kumar, Isabelle Lee, Anish Acharya, Rajiv Ratn Shah [pdf]
- SummScreen: A Dataset for Abstractive Screenplay Summarization Mingda Chen, Zewei Chu, Sam Wiseman, Kevin Gimpel [pdf] [data]
- SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization Bogdan Gliwa, Iwona Mochol, Maciej Biesek, Aleksander Wawer
EMNLP19[pdf] [data] - Dial2Desc: End-to-end Dialogue Description Generation Haojie Pan, Junpei Zhou, Zhou Zhao, Yan Liu, Deng Cai, Min Yang [pdf]
- The AMI meeting corpus: A pre-announcement Carletta, Jean and Ashby, Simone and Bourban, Sebastien and Flynn, Mike and Guillemot, Mael and Hain, Thomas and Kadlec, Jaroslav and Karaiskos, Vasilis and Kraaij, Wessel and Kronenthal, Melissa and others [pdf]
- The ICSI meeting corpus Janin, Adam and Baron, Don and Edwards, Jane and Ellis, Dan and Gelbart, David and Morgan, Nelson and Peskin, Barbara and Pfau, Thilo and Shriberg, Elizabeth and Stolcke, Andreas and others [pdf]
- Smart To-Do: Automatic Generation of To-Do Items from Emails Sudipto Mukherjee, Subhabrata Mukherjee, Marcello Hasegawa, Ahmed Hassan Awadallah, Ryen White
ACL 2020[pdf] [code] [bib] - Identifying Implicit Quotes for Unsupervised Extractive Summarization of Conversations Ryuji Kano, Yasuhide Miura, Tomoki Taniguchi, Tomoko Ohkuma
AACL20[pdf] - This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation Rui Zhang, Joel Tetreault
ACL 2019[pdf] [data] [bib] - Building a Dataset for Summarization and Keyword Extraction from Emails Vanessa Loza, Shibamouli Lahiri, Rada Mihalcea, Po-Hsiang Lai
LREC 2014[pdf] - A Publicly Available Annotated Corpus for Supervised Email Summarization Jan Ulrich, Gabriel Murray, Giuseppe Carenini
AAAI 2008[pdf] - Summarizing Email Conversations with Clue Words Giuseppe Carenini, Raymond T. Ng, Xiaodong Zhou
WWW 2007[pdf] - Task-focused Summarization of Email Simon H. Corston-Oliver Eric Ringger Michael Gamon Richard Campbell
ACL 2004[pdf] - Summarizing email threads Owen Rambow, Lokesh Shrestha, John Chen, Chirsty Lauridsen
NAACL 2004[pdf] [bib] - Facilitating email thread access by extractive summary generation Ani Nenkova
Recent advances in natural language processing III: selected papers from RANLP[pdf] - Summarizing Archived Discussions: A Beginning Paula S. Newman, John C. Blitzer
Proceedings of the 8th international conference on Intelligent user interfaces[pdf] - Combining linguistic and machine learning techniques for email summarization Smaranda Muresan, Evelyne Tzoukermann, Judith L. Klavans
Proceedings of the ACL 2001 Workshop on Computational Natural Language Learning (ConLL) 2001[pdf] [bib]
- What are meeting summaries? An analysis of human extractive summaries in meeting corpus Fei Liu, Yang Liu
SIGDIAL 2008[pdf] - Exploring Speaker Characteristics for Meeting Summarization Fei Liu, Yang Liu
INTERSPEECH 2010[pdf] - Automatic meeting summarization and topic detection system Tai-Chia Huang, Chia-Hsuan Hsieh, Hei-Chia Wang [pdf]
- A keyphrase based approach to interactive meeting summarization Korbinian Riedhammer, Benoit Favre, Dilek Hakkani-T¨ur
2008 IEEE Spoken Language Technology Workshop[pdf] - A global optimization framework for meeting summarization Dan Gillick, Korbinian Riedhammerm, Benoit Favre, Dilek Hakkani-Tur
2009 IEEE International Conference on Acoustics, Speech and Signal Processing[pdf] - Evaluating the effectiveness of features and sampling in extractive meeting summarization Shasha Xie, Yang Liu, Hui Lin
SLT 2008[pdf] - Abstractive Meeting Summarization Using Dependency Graph Fusion Siddhartha Banerjee, Prasenjit Mitra, Kazunari Sugiyama
WWW 2015[pdf] - Automatic Community Creation for Abstractive Spoken Conversation Summarization Karan Singla, Evgeny Stepanov, Ali Orkan Bayer, Giuseppe Carenini, Giuseppe Riccardi
ACL 2017 workshop[pdf] [bib] - Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization Guokan Shang, Wensi Ding, Zekun Zhang, Antoine Jean-Pierre Tixier, Polykarpos Meladianos, Michalis Vazirgiannis, Jean-Pierre Lorré
ACL18[pdf] [code] - Abstractive meeting summarization based on an attentional neural model Nouha Dammak, Yassine BenAyed [pdf]
- A Study of Text Summarization Techniques for Generating Meeting Minutes Tu My Doan, Francois Jacquenet, Christine Largeron, Marc Bernard
RCIS 2020[pdf] - Meeting Summarization, A Challenge for Deep Learning Francois Jacquenet, Marc Bernard, Christine Largeron
IWANN 2019[pdf] - Generating Abstractive Summaries from Meeting Transcripts Siddhartha Banerjee, Prasenjit Mitra, Kazunari Sugiyama
Proceedings of the 2015 ACM Symposium on Document Engineering, DocEng' 2015[pdf] - Align then Summarize: Automatic Alignment Methods for Summarization Corpus Creation Paul Tardy, David Janiszek, Yannick Estève, Vincent Nguyen
LREC 2020[pdf] [bib] - Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization Xiachong Feng, Xiaocheng Feng, Bing Qin, Xinwei Geng
IJCAI21[pdf] [code] - How Domain Terminology Affects Meeting Summarization Performance Jia Jin Koay, Alexander Roustai, Xiaojin Dai, Dillon Burns, Alec Kerrigan, Fei Liu
COLING20 Short[pdf] [code] - How to Interact and Change? Abstractive Dialogue Summarization with Dialogue Act Weight and Topic Change Info Jiasheng Di, Xiao Wei, Zhenyu Zhang
KSEM 2020[pdf] [code] - Abstractive Dialogue Summarization with Sentence-Gated Modeling Optimized by Dialogue Acts Chih-Wen Goo, Yun-Nung Chen
SLT18[pdf] [code] - A Sliding-Window Approach to Automatic Creation of Meeting Minutes Jia Jin Koay, Alexander Roustai, Xiaojin Dai, Fei Liu [pdf]
- Hierarchical Learning for Generation with Long Source Sequences Tobias Rohde, Xiaoxia Wu, Yinhan Liu [pdf] [code]
- A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining Chenguang Zhu, Ruochen Xu, Michael Zeng, Xuedong Huang
Findings of EMNLP20[pdf] [code] [unofficial-code] - Abstractive Meeting Summarization via Hierarchical Adaptive Segmental Network Learning Zhou Zhao, Haojie Pan, Changjie Fan, Yan Liu, Linlin Li, Min Yang
WWW19[pdf] - Restructuring Conversations using Discourse Relations for Zero-shot Abstractive Dialogue Summarization Prakhar Ganesh, Saket Dingliwal [pdf]
- Keep Meeting Summaries on Topic: Abstractive Multi-Modal Meeting Summarization Manling Li, Lingyu Zhang, Heng Ji, Richard J. Radke
ACL19[pdf] - Automatic analysis of multiparty meetings STEVE RENALS [pdf]
- A Multimodal Meeting Browser that Implements an Important Utterance Detection Model based on Multimodal Information Fumio Nihei, Yukiko I. Nakano [pdf]
- Exploring Methods for Predicting Important Utterances Contributing to Meeting Summarization Fumio Nihei, Yukiko I. Nakano [pdf]
- Fusing Verbal and Nonverbal Information for Extractive Meeting Summarization Fumio Nihei, Yukiko I. Nakano, Yutaka Takase
GIFT18[pdf] - Meeting Extracts for Discussion Summarization Based on Multimodal Nonverbal Information Fumio Nihei, Yukiko I. Nakano, Yutaka Takase
ICMI16[pdf] - Extractive Summarization of Meeting Recordings Gabriel Murray, Steve Renals, Jean Carletta [pdf]
- Multimodal Summarization of Meeting Recordings Bema Erol, Dar-Shyang Lee, Jonathan Hull
ICME 2003[pdf] - Few-Shot Learning of an Interleaved Text Summarization Model by Pretraining with Synthetic Data Sanjeev Kumar Karn, Francine Chen, Yan-Ying Chen, Ulli Waltinger, Hinrich Schütze
EACL21[pdf] - Leverage Unlabeled Data for Abstractive Speech Summarization with Self-Supervised Learning and Back-Summarization SPECOM 2020
SPECOM 2020[pdf] - Focused Meeting Summarization via Unsupervised Relation Extraction Lu Wang, Claire Cardie
SIGDIAL 2012[pdf] - QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization Ming Zhong, Da Yin, Tao Yu, Ahmad Zaidi, Mutethia Mutuma, Rahul Jha, Ahmed Hassan Awadallah, Asli Celikyilmaz, Yang Liu, Xipeng Qiu, Dragomir Radev
NAACL21[pdf] [data] - Domain-Independent Abstract Generation for Focused Meeting Summarization Lu Wang, Claire Cardie
ACL 2013[pdf] - Summarizing Decisions in Spoken Meetings Lu Wang, Claire Cardie
ACL 2011[pdf] - Extracting Decisions from Multi-Party Dialogue Using Directed Graphical Models and Semantic Similarity Trung Bui, Matthew Frampton, John Dowding, Stanley Peters
SIGDIAL 2009[pdf] [bib] - ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining Alexander R. Fabbri, Faiaz Rahman, Imad Rizvi, Borui Wang, Haoran Li, Yashar Mehdad, Dragomir Radev
ACL2021[pdf] [code]
- Coreference-Aware Dialogue Summarization Zhengyuan Liu, Ke Shi, Nancy F. Chen
SIGDIAL 2021[pdf] - Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks Xiachong Feng, Xiaocheng Feng, Bing Qin
CCL 2021[pdf] - Hierarchical Speaker-Aware Sequence-to-Sequence Model for Dialogue Summarization Yuejie Lei, Yuanmeng Yan, Zhiyuan Zeng, Keqing He, Ximing Zhang, Weiran Xu
ICASSP21[pdf] - Summary Grounded Conversation Generation Chulaka Gunasekara, Guy Feigenblat, Benjamin Sznajder, Sachindra Joshi, David Konopnicki
Findings of ACL 2021[pdf] - Controllable Abstractive Dialogue Summarization with Sketch Supervision Chien-Sheng Wu, Linqing Liu, Wenhao Liu, Pontus Stenetorp, Caiming Xiong
ACL-Findings 2021[pdf] [code] - GupShup: An Annotated Corpus for Abstractive Summarization of Open-Domain Code-Switched Conversations Laiba Mehnaz, Debanjan Mahata, Rakesh Gosangi, Uma Sushmitha Gunturi, Riya Jain, Gauri Gupta, Amardeep Kumar, Isabelle Lee, Anish Acharya, Rajiv Ratn Shah [pdf]
- Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs Jiaao Chen, Diyi Yang
NAACL21[pdf] [code] - Planning with Entity Chains for Abstractive Summarization Shashi Narayan, Yao Zhao, Joshua Maynez, Gonçalo Simoes, Ryan McDonald [pdf]
- Improving Abstractive Dialogue Summarization with Graph Structures and Topic Words Lulu Zhao, Weiran Xu, Jun Guo
COLING20[pdf] - Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization Jiaao Chen, Diyi Yang
EMNLP20[pdf] [code] - SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization Bogdan Gliwa, Iwona Mochol, Maciej Biesek, Aleksander Wawer
EMNLP19[pdf] [data]
- Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniques Kundan Krishna, Sopan Khosla, Jeffrey P. Bigham, Zachary C. Lipton
ACL 2021[pdf] [code] - Summarizing Medical Conversations via Identifying Important Utterances Yan Song, Yuanhe Tian, Nan Wang, Fei Xia
COLING 2020[pdf] [code] [bib] - Dr.Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures Anirudh Joshi, Namit Katariya, Xavier Amatriain, Anitha Kannan
Findings of EMNLP 2020[pdf] [bib] - Medical Dialogue Summarization for Automated Reporting in Healthcare Sabine Molenaar, Lientje Maas, Verónica Burriel, Fabiano Dalpiaz,Sjaak Brinkkemper
Advanced Information Systems Engineering Workshops 2020[pdf] [bib] - Generating Medical Reports from Patient-Doctor Conversations using Sequence-to-Sequence Models Seppo Enarvi, Marilisa Amoia, Miguel Del-Agua Teba, Brian Delaney, Frank Diehl, Stefan Hahn, Kristina Harris, Liam McGrath, Yue Pan, Joel Pinto, Luca Rubini, Miguel Ruiz, Gagandeep Singh, Fabian Stemmer, Weiyi Sun, Paul Vozila, Thomas Lin, Ranjani Ramamurthy
ACL 2020 Short[pdf] [bib] - Automatically Generating Psychiatric Case Notes From Digital Transcripts of Doctor-Patient Conversations Nazmul Kazi, Indika Kahanda
NAACL 2019[pdf] [bib] - Alignment Annotation for Clinic Visit Dialogue to Clinical Note Sentence Language Generation Wen-wai Yim, Meliha Yetisgen, Jenny Huang, Micah Grossman
LREC 2020[pdf] [bib] - Topic-aware Pointer-Generator Networks for Summarizing Spoken Conversations Zhengyuan Liu, Angela Ng, Sheldon Lee, Ai Ti Aw, Nancy F. Chen
ASRU 2019[pdf]
- Distant Supervision based Machine Reading Comprehension for Extractive Summarization in Customer Service Bing Ma, Cao Liu, Jingyu Wang, Shujie Hu, Fan Yang, Xunliang Cai, Guanglu Wan, Jiansong Chen, Jianxin Liao
SIGIR 2021[pdf] - Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes Xinyuan Zhang, Ruiyi Zhang, Manzil Zaheer, Amr Ahmed
AAAI21[pdf] - Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling Yicheng Zou, Lujun Zhao, Yangyang Kang, Jun Lin, Minlong Peng, Zhuoren Jiang, Changlong Sun, Qi Zhang, Xuanjing Huang, Xiaozhong Liu
AAAI21[pdf] [code] - Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware Auto-Encoders Yicheng Zou, Jun Lin, Lujun Zhao, Yangyang Kang, Zhuoren Jiang, Changlong Sun, Qi Zhang, Xuanjing Huang, Xiaozhong Liu
AAAI21[pdf] [code] - Abstractive Dialog Summarization with Semantic Scaffolds Lin Yuan, Zhou Yu [pdf]
- Automatic Dialogue Summary Generation for Customer Service Chunyi Liu, Peng Wang, Jiang Xu, Zang Li and Jieping Ye
KDD19[pdf]
- AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive Summarization Tiezheng Yu, Zihan Liu, Pascale Fung
NAACL21[pdf] [code] - Domain Adaptation to Summarize Human Conversations Oana Sandu, Giuseppe Carenini, Gabriel Murray, Raymond Ng
ACL2010 Workshop[pdf]
- Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization Xiachong Feng, Xiaocheng Feng, Libo Qin, Bing Qin, Ting Liu
ACL21[pdf] [code] - A Two-Phase Approach for Abstractive Podcast Summarization Chujie Zheng, Kunpeng Zhang, Harry Jiannan Wang, Ling Fan
TREC 2020 Podcasts Track[pdf] - Hierarchical Learning for Generation with Long Source Sequences Tobias Rohde, Xiaoxia Wu, Yinhan Liu [pdf] [code]
- Improving Online Forums Summarization via Unifying Hierarchical Attention Networks with Convolutional Neural Networks Sansiri Tarnpradab, Fereshteh Jafariakinabad, Kien A. Hua [pdf] [code]
- Extractive Summarization of Call Transcripts Pratik K. Biswas, Aleksandr Iakubovich [pdf]
- Legal Summarization for Multi-role Debate Dialogue via Controversy Focus Mining and Multi-task Learning Xinyu Duan, Yating Zhang, Lin Yuan, Xin Zhou, Xiaozhong Liu, Tianyi Wang, Ruocheng Wang, Qiong Zhang, Changlong Sun, Fei Wu
CIKM 2019[pdf] - Collabot: Personalized Group Chat Summarization Naama Tepper, Anat Hashavit, Maya Barnea, Inbal Ronen, Lior Leiba
WSDM 2018[pdf] - Summarizing Dialogic Arguments from Social Media Amita Misra, Shereen Oraby, Shubhangi Tandon, Sharath TS, Pranav Anand, Marilyn Walker
SemDial 2017[pdf] - The SENSEI Annotated Corpus: Human Summaries of Reader Comment Conversations in On-line News Emma Barker, Monica Lestari Paramita, Ahmet Aker, Emina Kurtic, Mark Hepple, Robert Gaizauskas
SIGDIAL 2016[pdf] - Semantic Similarity Applied to Spoken Dialogue Summarization Iryna Gurevych, Michael Strube
COLING 2004[pdf] [bib] Switchboard dialogues
- Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents Rui Meng, Khushboo Thaker, Lei Zhang, Yue Dong, Xingdi Yuan, Tong Wang, Daqing He
ACL2021 short[pdf] [data] - Sliding Selector Network with Dynamic Memory for Extractive Summarization of Long Documents Peng Cui, Le Hu
NAACL21[pdf] [code] - Long-Span Summarization via Local Attention and Content Selection Potsawee Manakul, Mark J. F. Gales
ACl21[pdf] - Globalizing BERT-based Transformer Architectures for Long Document Summarization Quentin Grail, Julien Perez, Eric Gaussier
EACL21[pdf] - Discourse-Aware Unsupervised Summarization for Long Scientific Documents Yue Dong, Andrei Mircea Romascanu, Jackie Chi Kit Cheung
EACL21[pdf] [code] - Enhancing Scientific Papers Summarization with Citation Graph Chenxin An, Ming Zhong, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang
AAAI21[pdf] [code] - Efficient Attentions for Long Document Summarization Luyang Huang, Shuyang Cao, Nikolaus Parulian, Heng Ji, Lu Wang
NAACL21[pdf] [code] [data] - Can We Automate Scientific Reviewing? Weizhe Yuan, Pengfei Liu, and Graham Neubig [pdf] [code]
- Long Document Summarization in a Low Resource Setting using Pretrained Language Models Ahsaas Bajaj, Pavitra Dangati, Kalpesh Krishna, Pradhiksha Ashok Kumar, Rheeya Uppaal, Bradford Windsor, Eliot Brenner, Dominic Dotterrer, Rajarshi Das, Andrew McCallum [pdf]
- Summaformers @ LaySumm 20, LongSumm 20 Sayar Ghosh Roy, Nikhil Pinnaparaju, Risubh Jain, Manish Gupta, Vasudeva Varma
SDP EMNLP20[pdf] - On Generating Extended Summaries of Long Documents Sajad Sotudeh, Arman Cohan, Nazli Goharian
SDU21[pdf] [code] - Self-Supervised Learning for Visual Summary Identification in Scientific Publications Shintaro Yamamoto, Anne Lauscher, Simone Paolo Ponzetto, Goran Glavaš, Shigeo Morishima [pdf]
- Systematically Exploring Redundancy Reduction in Summarizing Long Documents Wen Xiao, Giuseppe Carenini
AACL20[pdf [code] - On Extractive and Abstractive Neural Document Summarization with Transformer Language Models Sandeep Subramanian, Raymond Li, Jonathan Pilault, Christopher Pal
EMNLP20[pdf] - Dimsum @LaySumm 20: BART-based Approach for Scientific Document Summarization Tiezheng Yu, Dan Su, Wenliang Dai, Pascale Fung [pdf] [code]
- SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline Jiaxin Ju, Ming Liu, Longxiang Gao, Shirui Pan [pdf] [code]
- Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks Peng Cui, Le Hu, Yuanchao Liu
COLING20[pdf] - Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles Yao Lu, Yue Dong, Laurent Charlin
EMNLP20 Short[pdf] [data] - TLDR: Extreme Summarization of Scientific Documents Isabel Cachola, Kyle Lo, Arman Cohan, Daniel S. Weld
Findings of EMNLP20[pdf] [data] - Extractive Summarization of Long Documents by Combining Global and Local Context Wen Xiao, Giuseppe Carenini
EMNLP19[pdf] [code] - ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev
AAAI19[pdf] [data] - TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks Guy Lev, Michal Shmueli-Scheuer, Jonathan Herzig, Achiya Jerbi, David Konopnicki
ACL19[pdf] [data] - A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents Arman Cohan, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Seokhwan Kim, Walter Chang, Nazli Goharian
NAACL18[pdf] [data]
Toolkit: factsumm
The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey Yichong Huang, Xiachong Feng, Xiaocheng Feng, Bing Qin [pdf]
- Improving Factual Consistency of Abstractive Summarization on Customer Feedback Yang Liu, Yifei Sun, Vincent Gao [pdf]
- AgreeSum: Agreement-Oriented Multi-Document Summarization Richard Yuanzhe Pang, Adam D. Lelkes, Vinh Q. Tran, Cong Yu
Findings of ACL 2021[pdf] [data] - Focus Attention: Promoting Faithfulness and Diversity in Summarization Rahul Aralikatte, Shashi Narayan, Joshua Maynez, Sascha Rothe, Ryan McDonald
ACL21[pdf] - Improving Factual Consistency of Abstractive Summarization via Question Answering Feng Nan, Cicero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Kathleen McKeown, Ramesh Nallapati, Dejiao Zhang, Zhiguo Wang, Andrew O. Arnold, Bing Xiang
ACL21[pdf] - Discourse Understanding and Factual Consistency in Abstractive Summarization Saadia Gabriel, Antoine Bosselut, Jeff Da, Ari Holtzman, Jan Buys, Kyle Lo, Asli Celikyilmaz, Yejin Choi
EACL21[pdf] [code] - Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection Sihao Chen, Fan Zhang, Kazoo Sone and Dan Roth
NAACL21[pdf] [code] - Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics Artidoro Pagnoni, Vidhisha Balachandran and Yulia Tsvetkov
NAACL21[pdf] [code] - Annotating and Modeling Fine-grained Factuality in Summarization Tanya Goyal, Greg Durrett
NAACL21[pdf] [code] - SAFEval: Summarization Asks for Fact-based Evaluation Thomas Scialom, Paul-Alexis Dray, Patrick Gallinari, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano, Alex Wang [pdf] [code]
- Enhancing Factual Consistency of Abstractive Summarization Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang
NAACL21[pdf] - Entity-level Factual Consistency of Abstractive Text Summarization Feng Nan, Ramesh Nallapati, Zhiguo Wang, Cicero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathleen McKeown, Bing Xiang
EACL21[pdf] [code] - On the Faithfulness for E-commerce Product Summarization Peng Yuan, Haoran Li, Song Xu, Youzheng Wu, Xiaodong He, Bowen Zhou
COLING20[pdf] [code] - FFCI: A Framework for Interpretable Automatic Evaluation of Summarization Fajri Koto, Jey Han Lau, Timothy Baldwin [pdf] [code]
- GSum: A General Framework for Guided Neural Abstractive Summarization Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, Zhengbao Jiang, Graham Neubig
NAACL21[pdf] [code] - Truth or Error? Towards systematic analysis of factual errors in abstractive summaries Klaus-Michael Lux, Maya Sappelli, Martha Larson
EMNLP | Eval4NLP 20[pdf] - Detecting Hallucinated Content in Conditional Neural Sequence Generation Chunting Zhou, Jiatao Gu, Mona Diab, Paco Guzman, Luke Zettlemoyer, Marjan Ghazvininejad [pdf] [code]
- Go Figure! A Meta Evaluation of Factuality in Summarization Saadia Gabriel, Asli Celikyilmaz, Rahul Jha, Yejin Choi, Jianfeng Gao
Findings of ACL 2021[pdf] - Constrained Abstractive Summarization: Preserving Factual Consistency with Constrained Generation Yuning Mao, Xiang Ren, Heng Ji, Jiawei Han [pdf]
- Factual Error Correction for Abstractive Summarization Models Meng Cao, Yue Dong, Jiapeng Wu, Jackie Chi Kit Cheung
EMNLP20 short[pdf] [code] - Multi-Fact Correction in Abstractive Text Summarization. Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung, Jingjing Liu
EMNLP20[pdf] - Factual Error Correction for Abstractive Summarization Models Cao Meng, Yue Cheung Dong, Jiapeng Wu, and Jackie Chi Kit
EMNLP20[pdf] - Evaluating the Factual Consistency of Abstractive Text Summarization Wojciech Kryściński, Bryan McCann, Caiming Xiong, Richard Socher
EMNLP20[pdf] [code] - Reducing Quantity Hallucinations in Abstractive Summarization Zheng Zhao, Shay B. Cohen, Bonnie Webber
Findings of EMNLP[pdf] - On Faithfulness and Factuality in Abstractive Summarization Joshua Maynez, Shashi Narayan, Bernd Bohnet, Ryan McDonald
ACL20[pdf] [data] - Improving Truthfulness of Headline Generation Kazuki Matsumaru, Sho Takase, Naoaki Okazaki
ACL20[pdf] - Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports Yuhao Zhang, Derek Merck, Emily Bao Tsai, Christopher D. Manning, Curtis P. Langlotz
ACL20[pdf] - FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization Esin Durmus, He He, Mona Diab
ACL20[pdf] [code] - Asking and Answering Questions to Evaluate the Factual Consistency of Summaries Alex Wang, Kyunghyun Cho, Mike Lewis
ACL20[pdf] [code] - Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward Luyang Huang, Lingfei Wu, Lu Wang
ACL20[pdf] - Mind The Facts: Knowledge-Boosted Coherent Abstractive Text Summarization Beliz Gunel, Chenguang Zhu, Michael Zeng, Xuedong Huang
NIPS19[pdf] - Assessing The Factual Accuracy of Generated Text Ben Goodrich, Vinay Rao, Mohammad Saleh, Peter J Liu
KDD19[pdf] - Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference Tobias Falke, Leonardo F. R. Ribeiro, Prasetya Ajie Utama, Ido Dagan, Iryna Gurevych
ACL19[pdf] [data] - Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization Haoran Li, Junnan Zhu, Jiajun Zhang, Chengqing Zong
COLING18[pdf] [code] - Faithful to the Original: Fact-Aware Neural Abstractive Summarization Ziqiang Cao, Furu Wei, Wenjie Li, Sujian Li
AAAI18[pdf] - FAR-ASS：Fact-aware reinforced abstractive sentence summarization MengLi Zhanga, Gang Zhoua, Wanting Yua, Wenfen Liub [pdf]
- SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization Yixin Liu, Pengfei Liu
ACL2021 short[pdf] [code] - Contrastive Learning with Adversarial Perturbations for Conditional Text Generation Seanie Lee, Dong Bok Lee, Sung Ju Hwang
ICLR21[pdf] - DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization Jiaxin Shi, Chen Liang, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang
AAAI19[pdf] [code] - Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning Hanlu Wu, Tengfei Ma, Lingfei Wu, Tariro Manyumwa, Shouling Ji
EMNLP20[pdf] [code] - Contrastive Attention Mechanism for Abstractive Sentence Summarization Xiangyu Duan, Hongfei Yu, Mingming Yin, Min Zhang, Weihua Luo, Yue Zhang
EMNLP19[pdf] [code]
- BARTScore: Evaluating Generated Text as Text Generation Weizhe Yuan, Graham Neubig, Pengfei Liu [pdf] [code]
- A Training-free and Reference-free Summarization Evaluation Metric via Centrality-weighted Relevance and Self-referenced Redundancy Wang Chen, Piji Li, Irwin King
ACL 2021[pdf] [code] - Evaluating the Efficacy of Summarization Evaluation across Languages Fajri Koto, Jey Han Lau, Timothy Baldwin
Findings of ACL 2021[pdf] - Question-aware Transformer Models for Consumer Health Question Summarization Shweta Yadav, Deepak Gupta, Asma Ben Abacha, Dina Demner-Fushman [pdf]
- Towards Human-Free Automatic Quality Evaluation of German Summarization Neslihan Iskender, Oleg Vasilyev, Tim Polzehl, John Bohannon, Sebastian Möller [pdf]
- Reliability of Human Evaluation for Text Summarization: Lessons Learned and Challenges Ahead Neslihan Iskender, Tim Polzehl, Sebastian Möller
EACL21[pdf] [code] - SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization Jesse Vig, Wojciech Kryscinski, Karan Goel, Nazneen Fatema Rajani [pdf] [data]
- Play the Shannon Game With Language Models: A Human-Free Approach to Summary Evaluation Nicholas Egan, Oleg Vasilyev, John Bohannon [pdf]
- Is human scoring the best criteria for summary evaluation?
Findings of ACL 2021Oleg Vasilyev, John Bohannon [pdf] - How to Evaluate a Summarizer: Study Design and Statistical Analysis for Manual Linguistic Quality Evaluation Julius Steen, Katja Markert
EACL21[pdf] [code] - HOLMS: Alternative Summary Evaluation with Large Language Models Yassine Mrabet, Dina Demner-Fushman
COLING20[pdf] [bib] - FFCI: A Framework for Interpretable Automatic Evaluation of Summarization Fajri Koto, Jey Han Lau, Timothy Baldwin [pdf] [code]
- Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning Hanlu Wu, Tengfei Ma, Lingfei Wu, Tariro Manyumwa, Shouling Ji
EMNLP20[pdf] [code] - SacreROUGE: An Open-Source Library for Using and Developing Summarization Evaluation Metrics Daniel Deutsch, Dan Roth [pdf] [code]
- SummEval: Re-evaluating Summarization Evaluation Alexander R. Fabbri, Wojciech Kryściński, Bryan McCann, Caiming Xiong, Richard Socher, Dragomir Radev [pdf] [code]
- HIGHRES: Highlight-based Reference-less Evaluation of Summarization Hardy, Shashi Narayan, Andreas Vlachos
ACL19[pdf] [code]
- TWAG: A Topic-Guided Wikipedia Abstract Generator Fangwei Zhu, Shangqing Tu, Jiaxin Shi, Juanzi Li, Lei Hou, Tong Cui
ACL 2021[pdf] [code] - AgreeSum: Agreement-Oriented Multi-Document Summarization Richard Yuanzhe Pang, Adam D. Lelkes, Vinh Q. Tran, Cong Yu
Findings of ACL 2021[pdf] [data] - Analysis of GraphSum's Attention Weights to Improve the Explainability of Multi-Document Summarization M. Lautaro Hickmann, Fabian Wurzberger, Megi Hoxhalli, Arne Lochner, Jessica Töllich, Ansgar Scherp [pdf]
- Extending Multi-Document Summarization Evaluation to the Interactive Setting Ori Shapira, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Yael Amsterdamer, Ido Dagan
NAACL21[pdf] [code] - Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters Ramakanth Pasunuru, Mengwen Liu, Mohit Bansal, Sujith Ravi, Markus Dreyer
NAACL21[pdf] [code] - Self-Supervised and Controlled Multi-Document Opinion Summarization Hady Elsahar, Maximin Coavoux, Jos Rozen, Matthias Gallé
EACL21[pdf] - MS2: Multi-Document Summarization of Medical Studies Jay DeYoung, Iz Beltagy, Madeleine van Zuylen, Bailey Keuhl, Lucy Lu Wang [pdf] [data]
- Nutri-bullets: Summarizing Health Studies by Composing Segments Darsh J Shah, Lili Yu, Tao Lei, Regina Barzilay
AAAI21[pdf] [code] - Multi-document Summarization using Semantic Role Labeling and Semantic Graph for Indonesian News Article Yuly Haruka Berliana Gunawan, Masayu Leylia Khodra [pdf]
- Flight of the PEGASUS? Comparing Transformers on Few-Shot and Zero-Shot Multi-document Abstractive Summarization Travis Goodwin, Max Savery, Dina Demner-Fushman
COLING20[pdf] - Abstractive Multi-Document Summarization via Joint Learning with Single-Document Summarization Hanqi Jin, Xiaojun Wan
Findings of EMNLP[pdf] [code] - Coarse-to-Fine Query Focused Multi-Document Summarization Yumo Xu, Mirella Lapata
EMNLP20[pdf] [code] [code] - WSL-DS: Weakly Supervised Learning with Distant Supervision for Query Focused Multi-Document Abstractive Summarization Md Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang
COLING20 Short[pdf] [code] - AQuaMuSe: Automatically Generating Datasets for Query-Based Multi-Document Summarization Sayali Kulkarni, Sheide Chammas, Wan Zhu, Fei Sha, Eugene Ie [pdf] [data]
- Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning Yuning Mao, Yanru Qu, Yiqing Xie, Xiang Ren, Jiawei Han
EMNLP20[pdf] [code] - Heterogeneous Graph Neural Networks for Extractive Document Summarization Danqing Wang, Pengfei Liu, Yining Zheng, Xipeng Qiu, Xuanjing Huang
ACL20[pdf] [code] - Multi-Granularity Interaction Network for Extractive and Abstractive Multi-Document Summarization Hanqi Jin, Tianming Wang, Xiaojun Wan
ACL20[pdf] - SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization Yang Gao, Wei Zhao, Steffen Eger
ACL20[pdf] [code] - Leveraging Graph to Improve Abstractive Multi-Document Summarization Wei Li, Xinyan Xiao, Jiachen Liu, Hua Wu, Haifeng Wang, Junping Du
ACL20[pdf] [code] - Generating Representative Headlines for News Stories Xiaotao Gu, Yuning Mao, Jiawei Han, Jialu Liu, Hongkun Yu, You Wu, Cong Yu, Daniel Finnie, Jiaqi Zhai, Nicholas Zukoski
WWW20[pdf] [code] - Learning to Create Sentence Semantic Relation Graphs for Multi-Document Summarization Diego Antognini, Boi Faltings
EMNLP19[pdf] - Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization Sangwoo Cho, Logan Lebanoff, Hassan Foroosh, Fei Liu
ACL19[pdf] [code] - Hierarchical Transformers for Multi-Document Summarization Yang Liu, Mirella Lapata
ACL19[pdf] [code] - MeanSum: A Neural Model for Unsupervised Multi-Document Abstractive Summarization Eric Chu, Peter J. Liu
ICML19[pdf] [code] - Generating Wikipedia By Summarizing Long Sequence Peter J. Liu, Mohammad Saleh, Etienne Pot, Ben Goodrich, Ryan Sepassi, Lukasz Kaiser, Noam Shazeer
ICLR18[pdf] [code] - Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization Logan Lebanoff, Kaiqiang Song, Fei Liu
EMNLP18[pdf] [code] - Graph-based Neural Multi-Document Summarization Michihiro Yasunaga, Rui Zhang, Kshitijh Meelu, Ayush Pareek, Krishnan Srinivasan, Dragomir Radev
CoNLL17[pdf] - Improving Multi-Document Summarization via Text Classification Ziqiang Cao, Wenjie Li, Sujian Li, Furu Wei
AAAI17[pdf] - An Unsupervised Multi-Document Summarization Framework Based on Neural Document Model Shulei Ma, Zhi-Hong Deng, Yunlun Yang
COLING16[pdf] - Event-Centric Summary Generation Lucy Vanderwende Michele Banko Arul Menezes
ACL04[pdf]
- XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages T. Hasan, A. Bhattacharjee, M. S. Islam, K. Samin, Y. Li, Y. Kang, M. S. Rahman, R. Shahriyar
Findings of ACL 2021[pdf] [data] - ZmBART: An Unsupervised Cross-lingual Transfer Framework for Language Generation Kaushal Kumar Maurya, Maunendra Sankar Desarkar, Yoshinobu Kano, Kumari Deepshikha
Findings of ACL 2021[pdf] [code] - mT6: Multilingual Pretrained Text-to-Text Transformer with Translation Pairs Zewen Chi, Li Dong, Shuming Ma, Shaohan Huang Xian-Ling Mao, Heyan Huang, Furu Wei [pdf] [code]
- Evaluating the Efficacy of Summarization Evaluation across Languages Fajri Koto, Jey Han Lau, Timothy Baldwin
Findings of ACL 2021[pdf] - Cross-Lingual Abstractive Summarization with Limited Parallel Resources Yu Bai, Yang Gao, Heyan Huang
ACL2021[pdf] [code] - Unsupervised Approach to Multilingual User Comments Summarization Aleš Žagar, Marko Robnik-Šikonja
EACL21[pdf] [code] - MultiHumES: Multilingual Humanitarian Dataset for Extractive Summarization Jenny Paola Yela-Bello, Ewan Oglethorpe, Navid Rekabsaz
EACL21[pdf] [data] - Cross-lingual Approach to Abstractive Summarization Aleš Žagar, Marko Robnik-Šikonja [pdf]
- Mixed-Lingual Pre-training for Cross-lingual Summarization Ruochen Xu, Chenguang Zhu, Yu Shi, Michael Zeng, Xuedong Huang
AACL20[pdf] - Multi-Task Learning for Cross-Lingual Abstractive Summarization Sho Takase, Naoaki Okazaki [pdf]
- WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization Faisal Ladhak, Esin Durmus, Claire Cardie, Kathleen McKeown
Findings of EMNLP20[pdf] [data] - A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards Zi-Yi Dou, Sachin Kumar, Yulia Tsvetkov
ACL20 workshop[pdf] [code] - Jointly Learning to Align and Summarize for Neural Cross-Lingual Summarization Yue Cao, Hui Liu, Xiaojun Wan
ACL20[pdf] - Attend, Translate and Summarize: An Efficient Method for Neural Cross-Lingual Summarization Junnan Zhu, Yu Zhou, Jiajun Zhang, Chengqing Zong
ACL20[pdf] [code] - MultiSumm: Towards a Unified Model for Multi-Lingual Abstractive Summarization Yue Cao, Xiaojun Wan, Jinge Yao, Dian Yu
AAAI20[pdf] [code] - Cross-Lingual Natural Language Generation via Pre-Training Zewen Chi, Li Dong, Furu Wei, Wenhui Wang, Xian-Ling Mao, Heyan Huang
AAAI 2020[pdf] [code] - Global Voices: Crossing Borders in Automatic News Summarization Khanh Nguyen, Hal Daumé III
EMNLP19 workshop[pdf] [data] - NCLS: Neural Cross-Lingual Summarization Junnan Zhu, Qian Wang, Yining Wang, Yu Zhou, Jiajun Zhang, Shaonan Wang, Chengqing Zong
EMNLP19[pdf] [code] - Zero-Shot Cross-Lingual Abstractive Sentence Summarization through Teaching Generation and Attention Xiangyu Duan, Mingming Yin, Min Zhang, Boxing Chen, Weihua Luo
ACL19[pdf] [code] - A Robust Abstractive System for Cross-Lingual Summarization Jessica Ouyang, Boya Song, Kathy McKeown
NAACL19[pdf] - Cross-Lingual Korean Speech-to-Text Summarization HyoJeon Yoon, Dinh Tuyen Hoang, Ngoc Thanh Nguyen, Dosam Hwang
ACIIDS19[pdf] - Cross-language document summarization via extraction and ranking of multiple summaries Xiaojun Wan, Fuli Luo, Xue Sun, Songfang Huang & Jin-ge Yao [pdf]
- Zero-Shot Cross-Lingual Neural Headline Generation Shi-qi Shen, Yun Chen, Cheng Yang, Zhi-yuan Liu, Mao-song Sun
TASLP18[pdf] - Cross-Language Text Summarization using Sentence and Multi-Sentence Compression Elvys Linhares Pontes, Stéphane Huet, Juan-Manuel Torres-Moreno, Andréa Carneiro Linhares
NLDB18[pdf] - Abstractive Cross-Language Summarization via Translation Model Enhanced Predicate Argument Structure Fusing Jiajun Zhang, Yu Zhou, Chengqing Zong
TASLP16[pdf] - Phrase-based Compressive Cross-Language Summarization Jin-ge Yao ,Xiaojun Wan ,Jianguo Xiao
ACL15[pdf] - Multilingual Single-Document Summarization with MUSE Marina Litvak, Mark Last
MultiLing13[pdf] - Using bilingual information for cross-language document summarization Xiaojun Wan
ACL11[pdf] - Cross-language document summarization based on machine translation quality prediction Xiaojun Wan, Huiying Li, Jianguo Xiao
ACL10[pdf]
- Multi-Modal Supplementary-Complementary Summarization using Multi-Objective Optimization Anubhav Jangra, Sriparna Saha, Adam Jatowt, Mohammad Hasanuzzaman
SIGIR 2021[pdf] - Self-Supervised Multimodal Opinion Summarization Jinbae Im, Moonki Kim, Hoyeop Lee, Hyunsouk Cho, Sehee Chung
ACL21[pdf] [code] - GPT2MVS: Generative Pre-trained Transformer-2 for Multi-modal Video Summarization Jia-Hong Huang, Luka Murn, Marta Mrak, Marcel Worring
ICMR21[pdf] - Multimodal Sentence Summarization via Multimodal Selective Encoding Haoran Li, Junnan Zhu, Jiajun Zhang, Xiaodong He, Chengqing Zong
COLING20[pdf] - Multistage Fusion with Forget Gate for Multimodal Summarization in Open-Domain Videos Nayu Liu, Xian Sun, Hongfeng Yu, Wenkai Zhang, Guangluan Xu
EMNLP20[pdf] - MAST: Multimodal Abstractive Summarization with Trimodal Hierarchical Attention Aman Khullar, Udit Arora
EMNLP20 Workshop[pdf] [code] - VMSMO: Learning to Generate Multimodal Summary for Video-based News Articles Mingzhe Li, Xiuying Chen, Shen Gao, Zhangming Chan, Dongyan Zhao, Rui Yan
EMNLP20[pdf] [data] - Multi-modal Summarization for Video-containing Documents Xiyan Fu, Jun Wang, Zhenglu Yang [pdf] [code]
- Text-Image-Video Summary Generation Using Joint Integer Linear Programming Anubhav Jangra, Adam Jatowt, Mohammad Hasanuzzaman, Sriparna Saha
ECIR20[pdf] - Aspect-Aware Multimodal Summarization for Chinese E-Commerce Products Haoran Li, Peng Yuan, Song Xu, Youzheng Wu, Xiaodong He, Bowen Zhou
AAAI20[pdf] [code] - Convolutional Hierarchical Attention Network for Query-Focused Video Summarization Shuwen Xiao, Zhou Zhao, Zijian Zhang, Xiaohui Yan, Min Yang
AAAI20[pdf] - Multimodal Summarization with Guidance of Multimodal Reference Junnan Zhu, Yu Zhou, Jiajun Zhang, Haoran Li, Chengqing Zong, Changliang Li
AAAI20[pdf] - EmotionCues: Emotion-Oriented Visual Summarization of Classroom Videos Haipeng Zeng, Xinhuan Shu, Yanbang Wang, Yong Wang, Liguo Zhang, Ting-Chuen Pong, Huamin Qu [pdf]
- A Survey on Automatic Summarization Using Multi-Modal Summarization System for Asynchronous Collections Shilpadevi Vasant Bhagwat, Sheetal .S. Thokal [pdf]
- Extractive summarization of documents with images based on multi-modal RNN Jingqiang Chen, Hai Zhuge [pdf]
- Keep Meeting Summaries on Topic: Abstractive Multi-Modal Meeting Summarization Manling Li, Lingyu Zhang, Heng Ji, Richard J. Radke
ACL19[pdf] - Multimodal Abstractive Summarization for How2 Videos Shruti Palaskar, Jindřich Libovický, Spandana Gella, Florian Metze
ACL19[pdf] - MSMO: Multimodal Summarization with Multimodal Output Junnan Zhu, Haoran Li, Tianshang Liu, Yu Zhou, Jiajun Zhang, Chengqing Zong
EMNLP18[pdf] [data] - Abstractive Text-Image Summarization Using Multi-Modal Attentional Hierarchical RNN Jingqiang Chen, Hai Zhuge
EMNLP18[pdf] - Multi-modal Sentence Summarization with Modality Attention and Image Filtering Haoran Li, Junnan Zhu, Tianshang Liu, Jiajun Zhang, Chengqing Zong
IJCAI18[pdf] - Multimodal Abstractive Summarization for Open-Domain Videos Jindrich Libovický, Shruti Palaskar, Spandana Gella, Florian Metze
NIPS18[pdf] [data] - Read, Watch, Listen, and Summarize: Multi-Modal Summarization for Asynchronous Text, Image, Audio and Video Haoran Li, Junnan Zhu, Cong Ma, Jiajun Zhang, Chengqing Zong [pdf]
- Fusing Verbal and Nonverbal Information for Extractive Meeting Summarization Fumio Nihei, Yukiko Nakano, Yukiko I. Nakano, Yutaka Takase, Yutaka Takase
GIFT18[pdf] - Multi-modal Summarization for Asynchronous Collection of Text, Image, Audio and Video Haoran Li, Junnan Zhu, Cong Ma, Jiajun Zhang, Chengqing Zong
EMNLP17[pdf] - Meeting Extracts for Discussion Summarization Based on Multimodal Nonverbal Information Fumio Nihei, Yukiko Nakano, Yukiko I. Nakano, Yutaka Takase, Yutaka Takase
ICMI16[pdf] - Summarizing a multimodal set of documents in a Smart Room Maria Fuentes, Horacio Rodríguez, Jordi Turmo
LREC12[pdf] - Multi-modal summarization of key events and top players in sports tournament videos Dian Tjondronegoro, Xiaohui Tao, Johannes Sasongko and Cher Han Lau [pdf]
- Multimodal Summarization of Complex Sentences Naushad UzZaman, Jeffrey P. Bigham, James F. Allen [pdf]
- Summarization of Multimodal Information Saif Ahmad, Paulo C F de Oliveira, Khurshid Ahmad
LREC04[pdf] - Multimodal Summarization of Meeting Recordings Berna Erol, Dar-Shyang Lee, and Jonathan Hull
ICME03[pdf]
- Making the Best Use of Review Summary for Sentiment Analysis Sen Yang, Leyang Cui, Jun Xie, Yue Zhang
COLING20[pdf] [code] [bib] - A Unified Dual-view Model for Review Summarization and Sentiment Classification with Inconsistency Loss Hou Pong Chan, Wang Chen, Irwin King
SIGIR20[pdf] [code] - A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification Shuming Ma, Xu Sun, Junyang Lin, Xuancheng Ren
IJCAI18[pdf] - Two-level Text Summarization from Online News Sources with Sentiment Analysis Tarun B. Mirani, Sreela Sasi
IEEE17[pdf] - Creating Video Summarization From Emotion Perspective Yijie Lan, Shikui Wei, Ruoyu Liu, Yao Zhao
ICSP16[pdf]
- Leveraging Lead Bias for Zero-shot Abstractive News Summarization Chenguang Zhu, Ziyi Yang, Robert Gmyr, Michael Zeng, Xuedong Huang
SIGIR 2021[pdf] - ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation Yu Sun, Shuohuan Wang, Shikun Feng, Siyu Ding, Chao Pang, Junyuan Shang, Jiaxiang Liu, Xuyi Chen, Yanbin Zhao, Yuxiang Lu, Weixin Liu, Zhihua Wu, Weibao Gong, Jianzhong Liang, Zhizhou Shang, Peng Sun, Wei Liu, Xuan Ouyang, Dianhai Yu, Hao Tian, Hua Wu, Haifeng Wang [pdf]
- BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining Weizhen Qi, Yeyun Gong, Jian Jiao, Yu Yan, Weizhu Chen, Dayiheng Liu, Kewen Tang, Houqiang Li, Jiusheng Chen, Ruofei Zhang, Ming Zhou, Nan Duan
ICML 2021[pdf] [code] - Fact-level Extractive Summarization with Hierarchical Graph Mask on BERT Ruifeng Yuan, Zili Wang, Wenjie Li
COLING20[pdf] [code] - Towards Zero-Shot Conditional Summarization with Adaptive Multi-Task Fine-Tuning Travis Goodwin, Max Savery, Dina Demner-Fushman
Findings of EMNLP[pdf] [code] - Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation Alexander R. Fabbri, Simeng Han, Haoyuan Li, Haoran Li, Marjan Ghazvininejad, Shafiq Joty, Dragomir Radev, Yashar Mehdad [pdf]
- Pre-trained Summarization Distillation Sam Shleifer, Alexander M. Rush [pdf] [code]
- Pre-training for Abstractive Document Summarization by Reinstating Source Text Yanyan Zou, Xingxing Zhang, Wei Lu, Furu Wei, Ming Zhou
EMNLP20[pdf] [code] - PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation Bin Bi, Chenliang Li, Chen Wu, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si
EMNLP20[pdf] - TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising Ziyi Yang Chenguang Zhu Robert Gmyr Michael Zeng Xuedong Huang Eric Darve
Findings of EMNLP20[pdf] - QURIOUS: Question Generation Pretraining for Text Generation Shashi Narayan, Gonçalo Simoes, Ji Ma, Hannah Craighead, Ryan Mcdonald
ACL20 Short[pdf] - PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization Jingqing Zhang, Yao Zhao, Mohammad Saleh, Peter J. Liu
ICML20[pdf] [code] - Abstractive Text Summarization based on Language Model Conditioning and Locality Modeling Dmitrii Aksenov, Julián Moreno-Schneider, Peter Bourgonje, Robert Schwarzenberg, Leonhard Hennig, Georg Rehm
LREC20[pdf] - Abstractive Summarization with Combination of Pre-trained Sequence-to-Sequence and Saliency Models Dmitrii Aksenov, Julián Moreno-Schneider, Peter Bourgonje, Robert Schwarzenberg, Leonhard Hennig, Georg Rehm [pdf]
- Learning by Semantic Similarity Makes Abstractive Summarization Better Wonjin Yoon, Yoon Sun Yeo, Minbyul Jeong, Bong-Jun Yi, Jaewoo Kang
ICML20[pdf] [code] - Text Summarization with Pretrained Encoders Yang Liu, Mirella Lapata
EMNLP19[pdf] [code] - HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization Xingxing Zhang, Furu Wei, Ming Zhou
ACL19[pdf] - MASS: Masked Sequence to Sequence Pre-training for Language Generation Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu
ICML19[pdf] [code] - Pretraining-Based Natural Language Generation for Text Summarization Haoyu Zhang, Jianjun Xu, Ji Wang [pdf]
- Fine-tune BERT for Extractive Summarization Yang Liu [pdf] [code]
- Unified Language Model Pre-training for Natural Language Understanding and Generation Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon
NIPS19[pdf] [code] - Self-Supervised Learning for Contextualized Extractive Summarization Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang
ACL19[pdf] [code] - Efficient Adaptation of Pretrained Transformers for Abstractive Summarization Andrew Hoang, Antoine Bosselut, Asli Celikyilmaz, Yejin Choi [pdf] [code]
- Planning with Entity Chains for Abstractive Summarization Shashi Narayan, Yao Zhao, Joshua Maynez, Gonçalo Simoes, Ryan McDonald [pdf]
- Controllable Abstractive Sentence Summarization with Guiding Entities Changmeng Zheng, Yi Cai, Guanjie Zhang, Qing Li
COLING20[pdf] [code] - GSum: A General Framework for Guided Neural Abstractive Summarization Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, Zhengbao Jiang, Graham Neubig
NAACL21[pdf] [code] - Abstractive summarization with combination of pre-trained sequence-to-sequence and saliency models Itsumi Saito, Kyosuke Nishida, Kosuke Nishida, Junji Tomita [pdf]
- Keywords-Guided Abstractive Sentence Summarization Haoran Li, Junnan Zhu, Jiajun Zhang, Chengqing Zong, Xiaodong He
AAAI20[pdf] - SemSUM: Semantic Dependency Guided Neural Abstractive Summarization Hanqi Jin, Tianming Wang, Xiaojun Wan
AAAI2020[pdf] [code] - Boosting Factual Correctness of Abstractive Summarization with Knowledge Graph Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang
arXiv20[pdf] - BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization Kai Wang, Xiaojun Quan, Rui Wang
ACL19[pdf] [code] - Improving Abstractive Document Summarization with Salient Information Modeling Yongjian You, Weijia Jia, Tianyi Liu, Wenmian Yang
ACL19[pdf] [code] - Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization Ziqiang Cao, Wenjie Li, Sujian Li, Furu Wei
ACL18[pdf] - Guiding Generation for Abstractive Text Summarization based on Key Information Guide Network Chenliang Li, Weiran Xu, Si Li, Sheng Gao
NAACL18[pdf] - Controllable Abstractive Summarization Angela Fan, David Grangier, Michael Auli
ACL2018 Workshop[pdf] - Generating Wikipedia By Summarizing Long Sequence Peter J. Liu, Mohammad Saleh, Etienne Pot, Ben Goodrich, Ryan Sepassi, Lukasz Kaiser, Noam Shazeer
ICLR18[pdf] [code]
- LenAtten: An Effective Length Controlling Unit For Text Summarization Zhongyi Yu, Zhenghao Wu, Hao Zheng, Zhe XuanYuan, Jefferson Fong, Weifeng Su
Findings of ACL 2021 (short)[pdf] [code] - Inference Time Style Control for Summarization Shuyang Cao, Lu Wang
NAACL21 short[pdf] [code] - CTRLsum: Towards Generic Controllable Text Summarization Junxian He, Wojciech Kryściński, Bryan McCann, Nazneen Rajani, Caiming Xiong [pdf] [code]
- Interpretable Multi-Headed Attention for Abstractive Summarization at Controllable Lengths Ritesh Sarkhel, Moniba Keymanesh, Arnab Nandi, Srinivasan Parthasarathy
COLING20[pdf] - Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach Bowen Tan, Lianhui Qin, Eric P. Xing, Zhiting Hu
EMNLP20 Short[pdf] [code] - Length-controllable Abstractive Summarization by Guiding with Summary Prototype Itsumi Saito, Kyosuke Nishida, Kosuke Nishida, Atsushi Otsuka, Hisako Asano, Junji Tomita, Hiroyuki Shindo, Yuji Matsumoto [pdf]
- The Summary Loop: Learning to Write Abstractive Summaries Without Examples Philippe Laban, Andrew Hsi, John Canny, Marti A. Hearst
ACL20[pdf] - Hooks in the Headline: Learning to Generate Headlines with Controlled Styles Di Jin, Zhijing Jin, Joey Tianyi Zhou, Lisa Orii, Peter Szolovits
ACL20[pdf] [code] - Positional Encoding to Control Output Sequence Length Sho Takase, Naoaki Okazaki
NAACL19[pdf] [code] - Query Focused Abstractive Summarization: Incorporating Query Relevance, Multi-Document Coverage, and Summary Length Constraints into seq2seq Models Tal Baumel, Matan Eyal, Michael Elhadad [pdf]
- Controllable Abstractive Summarization Angela Fan, David Grangier, Michael Auli
ACL2018 Workshop[pdf] - Controlling Length in Abstractive Summarization Using a Convolutional Neural Network Yizhu Liu, Zhiyi Luo, Kenny Zhu
EMNLP18[pdf] [code] - Controlling Output Length in Neural Encoder-Decoders Yuta Kikuchi, Graham Neubig, Ryohei Sasano, Hiroya Takamura, Manabu Okumura
EMNLP16[pdf] [code]
- Subjective Bias in Abstractive Summarization Lei Li, Wei Liu, Marina Litvak, Natalia Vanetik, Jiacheng Pei, Yinan Liu, Siya Qi [pdf] [code]
- Neural Abstractive Unsupervised Summarization of Online News Discussions Ignacio Tampe Palma, Marcelo Mendoza, Evangelos Milios [pdf]
- Attention Temperature Matters in Abstractive Summarization Distillation Shengqiang Zhang, Xingxing Zhang, Hangbo Bao, Furu Wei [pdf]
- BASS: Boosting Abstractive Summarization with Unified Semantic Graph Wenhao Wu, Wei Li, Xinyan Xiao, Jiachen Liu, Ziqiang Cao, Sujian Li, Hua Wu, Haifeng Wang
ACL21[pdf] - Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization Yichen Jiang, Asli Celikyilmaz, Paul Smolensky, Paul Soulos, Sudha Rao, Hamid Palangi, Roland Fernandez, Caitlin Smith, Mohit Bansal, Jianfeng Gao
NAACL21[pdf] [code] - Uncertainty-Aware Abstractive Summarization Alexios Gidiotis, Grigorios Tsoumakas [pdf]
- What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization Griffin Adams, Emily Alsentzer, Mert Ketenci, Jason Zucker, Noémie Elhadad
NAACL21[pdf] - Generating abstractive summaries of Lithuanian news articles using a transformer model Lukas Stankevičius, Mantas Lukoševičius [pdf]
- Summarization, Simplification, and Generation: The Case of Patents Silvia Casola, Alberto Lavelli [pdf]
- Quantifying Appropriateness of Summarization Data for Curriculum Learning Ryuji Kano, Takumi Takahashi, Toru Nishino, Motoki Taniguchi, Tomoki Taniguchi, Tomoko Ohkuma
EACL21[pdf] - Text Summarization of Czech News Articles Using Named Entities Petr Marek, Štěpán Müller, Jakub Konrád, Petr Lorenc, Jan Pichl, Jan Šedivý
Journal[pdf] - Planning with Entity Chains for Abstractive Summarization Shashi Narayan, Yao Zhao, Joshua Maynez, Gonçalo Simoes, Ryan McDonald [pdf]
- Attention Head Masking for Inference Time Content Selection in Abstractive Summarization Shuyang Cao, Lu Wang
NAACL21 short[pdf] [code] - A New Approach to Overgenerating and Scoring Abstractive Summaries Kaiqiang Song, Bingqing Wang, Zhe Feng, Fei Liu
NAACL21[pdf] [code] - Exploring Explainable Selection to Control Abstractive Summarization Wang Haonan, Gao Yang, Bai Yu, Mirella Lapata, Huang Heyan
AAAI21[pdf] [code] - Friendly Topic Assistant for Transformer Based Abstractive Summarization Zhengjue Wang, Zhibin Duan, Hao Zhang, Chaojie Wang, Long Tian, Bo Chen, Mingyuan Zhou
EMNLP20[pdf] [code] - Neural Abstractive Text Summarizer for Telugu Language Mohan Bharath B, Aravindh Gowtham B, Akhil M
ICSCSP20[pdf] - Topic-Aware Abstractive Text Summarization Chujie Zheng, Kunpeng Zhang, Harry Jiannan Wang, Ling Fan [pdf] [code]
- Multi-hop Inference for Question-driven Summarization Yang Deng, Wenxuan Zhang, Wai Lam
EMNLP20[pdf] - Quantitative Argument Summarization and Beyond-Cross-Domain Key Point Analysis Roy Bar-Haim, Yoav Kantor, Lilach Eden, Roni Friedman, Dan Lahav, Noam Slonim
EMNLP20[pdf] - Learning to Fuse Sentences with Transformers for Summarization Logan Lebanoff, Franck Dernoncourt, Doo Soon Kim, Lidan Wang, Walter Chang, Fei Liu
EMNLP20 short[pdf] [code] - A Cascade Approach to Neural Abstractive Summarization with Content Selection and Fusion Logan Lebanoff, Franck Dernoncourt, Doo Soon Kim, Walter Chang, Fei Liu
AACL20[pdf] [code] - AutoSurvey: Automatic Survey Generation based on a Research Draft Hen-Hsen Huang
IJCAI20[pdf] [code] - Neural Abstractive Summarization with Structural Attention Tanya Chowdhury, Sachin Kumar, Tanmoy Chakraborty
IJCAI20[pdf] - A Unified Model for Financial Event Classification, Detection and Summarization Quanzhi Li, Qiong Zhang
IJCAI20 Special Track on AI in FinTech[pdf] - Discriminative Adversarial Search for Abstractive Summarization Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano
ICML20[pdf] - Controlling the Amount of Verbatim Copying in Abstractive Summarization Kaiqiang Song, Bingqing Wang, Zhe Feng, Liu Ren, Fei Liu
AAAI20[pdf] [code] - GRET：Global Representation Enhanced Transformer Rongxiang Weng, Haoran Wei, Shujian Huang, Heng Yu, Lidong Bing, Weihua Luo, Jiajun Chen
AAAI20[pdf] - Abstractive Summarization of Spoken and Written Instructions with BERT Alexandra Savelieva, Bryan Au-Yeung, Vasanth Ramani
KDD Converse 2020[pdf] - Concept Pointer Network for Abstractive Summarization Wang Wenbo, Gao Yang, Huang Heyan, Zhou Yuxiang
EMNLP19[pdf] [code] - Co-opNet: Cooperative Generator–Discriminator Networks for Abstractive Summarization with Narrative Flow Saadia Gabriel, Antoine Bosselut, Ari Holtzman, Kyle Lo, Asli Celikyilmaz, Yejin Choi [pdf]
- Contrastive Attention Mechanism for Abstractive Sentence Summarization Xiangyu Duan, Hongfei Yu, Mingming Yin, Min Zhang, Weihua Luo, Yue Zhang
EMNLP19[pdf] [code] - An Entity-Driven Framework for Abstractive Summarization Eva Sharma, Luyang Huang, Zhe Hu, Lu Wang
EMNLP19[pdf] [code] - Abstract Text Summarization: A Low Resource Challenge Shantipriya Parida, Petr Motlicek
EMNLP19[pdf] [code] - Attention Optimization for Abstractive Document Summarization Min Gui, Junfeng Tian, Rui Wang, Zhenglu Yang
EMNLP19[pdf] [code] - Scoring Sentence Singletons and Pairs for Abstractive Summarization Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu
ACL19[pdf] [code] - Inducing Document Structure for Aspect-based Summarization Lea Frermann, Alexandre Klementiev
ACL19[pdf] [code] - Generating Summaries with Topic Templates and Structured Convolutional Decoders Laura Perez-Beltrachini, Yang Liu, Mirella Lapata
ACL19[pdf] [code] - Summary Refinement through Denoising Nikola I. Nikolov, Alessandro Calmanovici, Richard H.R. Hahnloser
RANLP19[pdf] [code] - Closed-Book Training to Improve Summarization Encoder Memory Yichen Jiang, Mohit Bansal
EMNLP18[pdf] - Improving Neural Abstractive Document Summarization with Structural Regularization Wei Li, Xinyan Xiao, Yajuan Lyu, Yuanzhuo Wang
EMNLP18[pdf] - Bottom-Up Abstractive Summarization Sebastian Gehrmann, Yuntian Deng, Alexander M. Rush
EMNLP18[pdf] [code] - A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss Wan-Ting Hsu, Chieh-Kai Lin, Ming-Ying Lee, Kerui Min, Jing Tang, Min Sun
ACL18[pdf] - Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation Han Guo, Ramakanth Pasunuru, Mohit Bansal
ACL18[pdf] - Abstractive Document Summarization via Bidirectional Decoder Xin WanChen LiRuijia WangDing XiaoChuan Shi
ADMA18[pdf] - Entity Commonsense Representation for Neural Abstractive Summarization Reinald Kim Amplayo, Seonjae Lim, Seung-won Hwang
NAACL18[pdf] - Get To The Point: Summarization with Pointer-Generator Networks Abigail See, Peter J. Liu, Christopher D. Manning
ACL17[pdf] [code] - Selective Encoding for Abstractive Sentence Summarization Qingyu Zhou, Nan Yang, Furu Wei, Ming Zhou
ACL17[pdf] - Abstractive Document Summarization with a Graph-Based Attentional Neural Model Jiwei Tan, Xiaojun Wan, Jianguo Xiao
ACL17[pdf] - Toward Abstractive Summarization Using Semantic Representations Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman Sadeh, Noah A. Smith
NAACL15[pdf] - Abstractive Meeting Summarization with Entailment and Fusion Yashar Mehdad, Giuseppe Carenini, Frank Tompa, Raymond T. Ng
ENLG13[pdf]
- Centrality Meets Centroid: A Graph-based Approach for Unsupervised Document Summarization Haopeng Zhang, Jiawei Zhang [pdf]
- Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network Ruipeng Jia, Yanan Cao, Hengzhu Tang, Fang Fang, Cong Cao, Shi Wang
EMNLP20[pdf] [code] - Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks Peng Cui, Le Hu, Yuanchao Liu
COLING20[pdf] - Heterogeneous Graph Neural Networks for Extractive Document Summarization Danqing Wang, Pengfei Liu, Yining Zheng, Xipeng Qiu, Xuanjing Huang
ACL20[pdf] [code] - Structured Neural Summarization Patrick Fernandes, Miltiadis Allamanis, Marc Brockschmidt
ICLR19[pdf] [code] - Hierarchical Transformers for Multi-Document Summarization Yang Liu, Mirella Lapata
ACL19[pdf] [code] - Learning to Create Sentence Semantic Relation Graphs for Multi-Document Summarization Diego Antognini, Boi Faltings
EMNLP19[pdf] - Graph-based Neural Multi-Document Summarization Michihiro Yasunaga, Rui Zhang, Kshitijh Meelu, Ayush Pareek, Krishnan Srinivasan, Dragomir Radev
CoNLL17[pdf] - Abstractive Document Summarization with a Graph-Based Attentional Neural Model Jiwei Tan, Xiaojun Wan, Jianguo Xiao
ACL17[pdf]
- MRCBert: A Machine Reading ComprehensionApproach for Unsupervised Summarization Saurabh Jain, Guokai Tang, Lim Sze Chi [pdf] [code]
- Centrality Meets Centroid: A Graph-based Approach for Unsupervised Document Summarization Haopeng Zhang, Jiawei Zhang [pdf]
- Unsupervised Opinion Summarization with Content Planning Reinald Kim Amplayo, Stefanos Angelidis, Mirella Lapata
AAAI21[pdf] [code] - Biased TextRank: Unsupervised Graph-Based Content Extraction Ashkan Kazemi, Verónica Pérez-Rosas, Rada Mihalcea
COLING20[pdf] [code] - Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei, Ming Zhou [pdf] [code]
- Q-learning with Language Model for Edit-based Unsupervised Summarization Ryosuke Kohita, Akifumi Wachi, Yang Zhao, Ryuki Tachibana
EMNLP20[pdf] [code] - Abstractive Document Summarization without Parallel Data Nikola I. Nikolov, Richard H.R. Hahnloser
LREC20[pdf] [code] - Unsupervised Neural Single-Document Summarization of Reviews via Learning Latent Discourse Structure and its Ranking Masaru Isonuma, Junichiro Mori, Ichiro Sakata
ACL19[pdf] [code] - Sentence Centrality Revisited for Unsupervised Summarization Hao Zheng, Mirella Lapata
ACL19[pdf] [code] - Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction Raphael Schumann, Lili Mou, Yao Lu, Olga Vechtomova, Katja Markert
ACL20[pdf] [code] - SummAE: Zero-Shot Abstractive Text Summarization using Length-Agnostic Auto-Encoders Peter J. Liu, Yu-An Chung, Jie Ren [pdf] [code]
- MeanSum : A Neural Model for Unsupervised Multi-Document Abstractive Summarization Eric Chu, Peter J. Liu
ICML19[pdf] [code] - SEQ3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression Christos Baziotis, Ion Androutsopoulos, Ioannis Konstas, Alexandros Potamianos
NAACL19[pdf] [code] - Learning to Encode Text as Human-Readable Summaries usingGenerative Adversarial Networks Yaushian Wang, Hung-Yi Lee
EMNLP18[pdf] [code] - Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization Guokan Shang, Wensi Ding, Zekun Zhang, Antoine Tixier, Polykarpos Meladianos, Michalis Vazirgiannis, Jean-Pierre Lorré
ACL18[pdf] [code]
- Fast Concept Mention Grouping for Concept Map–based Multi-Document Summarization Tobias Falke, Iryna Gurevych
NAACL19[pdf] [code] - Bringing Structure into Summaries : Crowdsourcing a Benchmark Corpus of Concept Maps Tobias Falke, Iryna Gurevych
EMNLP17[pdf] [code]
- Summarize Dates First: A Paradigm Shift in Timeline Summarization Moreno La Quatra, Luca Cagliero, Elena Baralis, Alberto Messina, Maurizio Montagnuolo
SIGIR 2021[pdf] [data] - Examining the State-of-the-Art in News Timeline Summarization Demian Gholipour Ghalandari, Georgiana Ifrim
ACL20[pdf] [code] - Learning towards Abstractive Timeline Summarization Xiuying Chen, Zhangming Chan, Shen Gao, Meng-Hsuan Yu, Dongyan Zhao, Rui Yan
IJCAI19[pdf] [data]
- Unsupervised Abstractive Opinion Summarization by Generating Sentences with Tree-Structured Topic Guidance Masaru Isonuma, Junichiro Mori, Danushka Bollegala, Ichiro Sakata
TACL 2021[pdf] - PASS: Perturb-and-Select Summarizer for Product Reviews Nadav Oved, Ran Levy
ACL 2021[pdf] - Self-Supervised Multimodal Opinion Summarization Jinbae Im, Moonki Kim, Hoyeop Lee, Hyunsouk Cho, Sehee Chung
ACL21[pdf] [code] - MRCBert: A Machine Reading Comprehension Approach for Unsupervised Summarization Saurabh Jain, Guokai Tang, Lim Sze Chi [pdf] [code]
- Informative and Controllable Opinion Summarization Reinald Kim Amplayo, Mirella Lapata
EACL21[pdf] [code] - Self-Supervised and Controlled Multi-Document Opinion Summarization Hady Elsahar, Maximin Coavoux, Jos Rozen, Matthias Gallé
EACL21[pdf] - Unsupervised Opinion Summarization with Content Planning Reinald Kim Amplayo, Stefanos Angelidis, Mirella Lapata
AAAI21[pdf] [code] - Extractive Opinion Summarization in Quantized Transformer Spaces Stefanos Angelidis, Reinald Kim Amplayo, Yoshihiko Suhara, Xiaolan Wang, Mirella Lapata
TACL[pdf] [code] - Few-Shot Learning for Opinion Summarization Arthur Bražinskas, Mirella Lapata, Ivan Titov
EMNLP20[pdf] [code] - Unsupervised Opinion Summarization as Copycat-Review Generation Arthur Bražinskas, Mirella Lapata, Ivan Titov
ACL20[pdf] [code] - Unsupervised Opinion Summarization with Noising and Denoising Reinald Kim Amplayo, Mirella Lapata
ACL20[pdf] [code] - OPINIONDIGEST: A Simple Framework for Opinion Summarization Yoshihiko Suhara, Xiaolan Wang, Stefanos Angelidis, Wang-Chiew Tan
ACL20 Short[pdf] [code] - Weakly-Supervised Opinion Summarization by Leveraging External Information Chao Zhao, Snigdha Chaturvedi
AAAI20[pdf] [code] - MeanSum: A Neural Model for Unsupervised Multi-Document Abstractive Summarization Eric Chu, Peter J. Liu
ICML19[pdf] [code]
- Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic Rewards Shweta Yadav, Deepak Gupta, Asma Ben Abacha, Dina Demner-Fushman
ACL 2021 short[pdf] [code] - RewardsOfSum: Exploring Reinforcement Learning Rewards for Summarisation Jacob Parnell, Inigo Jauregi Unanue, Massimo Piccardi
5th Workshop on Structured Prediction for NLP ACL-IJCNLP 2021[pdf] - Reinforced Generative Adversarial Network for Abstractive Text Summarization Tianyang Xu, Chunyun Zhang [pdf]
- Answers Unite! Unsupervised Metrics for Reinforced Summarization Models Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano
EMNLP19[pdf] - Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization Siyao Li, Deren Lei, Pengda Qin, William Yang Wang
EMNLP19[pdf] - Reinforced Extractive Summarization with Question-Focused Rewards Kristjan Arumae, Fei Liu
ACL18[pdf] - Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting Yen-Chun Chen, Mohit Bansal
ACL18[pdf] [code] - Multi-Reward Reinforced Summarization with Saliency and Entailmen Ramakanth Pasunuru, Mohit Bansal
NAACL18[pdf] - Deep Communicating Agents for Abstractive Summarization Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, Yejin Choi
NAACL18[pdf] - Ranking Sentences for Extractive Summarization with Reinforcement Learning Shashi Narayan, Shay B. Cohen, Mirella Lapata
NAACL18[pdf] [code] - A Deep Reinforced Model For Abstractive Summarization Romain Paulus, Caiming Xiong, Richard Socher
ICLR18[pdf]
- Learning to summarize from human feedback Nisan Stiennon, Long Ouyang, Jeff Wu, Daniel M. Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, Paul Christiano [pdf] [code]
- Better Rewards Yield Better Summaries: Learning to Summarise Without References Florian Böhm, Yang Gao, Christian M. Meyer, Ori Shapira, Ido Dagan, Iryna Gurevych
EMNLP19[pdf] [code]
- Incorporating Domain Knowledge for Extractive Summarization of Legal Case Documents Paheli Bhattacharya, Soham Poddar, Koustav Rudra, Kripabandhu Ghosh, Saptarshi Ghosh
ICAIL 2021[pdf] - Topic Modeling Based Extractive Text Summarization Kalliath Abdul Rasheed Issam, Shivam Patel, Subalalitha C. N
Journal[pdf] - Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning Linzi Xing, Wen Xiao, Giuseppe Carenini
ACL2021-short[pdf] [code] - Genetic Algorithms For Extractive Summarization William Chen, Kensal Ramos, Kalyan Naidu Mullaguri [pdf]
- Extractive Summarization Considering Discourse and Coreference Relations based on Heterogeneous Graph Yin Jou Huang, Sadao Kurohashi
EACL21[pdf] - AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization Keping Bi, Rahul Jha, Bruce Croft, Asli Celikyilmaz
EACL21[pdf] - Unsupervised Extractive Summarization using Pointwise Mutual Information Vishakh Padmakumar, He He
EACL21[pdf] [code] - Better Highlighting: Creating Sub-Sentence Summary Highlights Sangwoo Cho, Kaiqiang Song, Chen Li, Dong Yu, Hassan Foroosh, Fei Liu
EMNLP20[pdf] [code] - Summarize, Outline, and Elaborate: Long-Text Generation via Hierarchical Supervision from Extractive Summaries Xiaofei Sun, Chun Fan, Zijun Sun, Yuxian Meng, Fei Wu, Jiwei Li [pdf] [code]
- SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy Umanga Bista, Alexander Patrick Mathews, Aditya Krishna Menon, Lexing Xie [pdf] [code]
- Stepwise Extractive Summarization and Planning with Structured Transformers Shashi Narayan, Joshua Maynez, Jakub Adamek, Daniele Pighin, Blaž Bratanič, Ryan McDonald
EMNLP20[pdf] [code] - A Discourse-Aware Neural Extractive Model for Text Summarization Jiacheng Xu, Zhe Gan, Yu Cheng, Jingjing Liu
ACL20[pdf] [code] - Reading Like HER: Human Reading Inspired Extractive Summarization Ling Luo, Xiang Ao, Yan Song, Feiyang Pan, Min Yang, Qing He
EMNLP19[pdf] - Exploiting Discourse-Level Segmentation for Extractive Summarization Zhengyuan Liu, Nancy Chen
EMNLP19[pdf] - DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization Jiaxin Shi, Chen Liang, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang
AAAI19[pdf] [code] - Extractive Summarization with SWAP-NET: Sentences and Words from Alternating Pointer Networks Aishwarya Jadhav, Vaibhav Rajan
ACL18[pdf] - Neural Document Summarization by Jointly Learning to Score and Select Sentences Qingyu Zhou, Nan Yang, Furu Wei, Shaohan Huang, Ming Zhou, Tiejun Zhao
ACL18[pdf] - Neural Latent Extractive Document Summarization Xingxing Zhang, Mirella Lapata, Furu Wei, Ming Zhou
ACL18[pdf] - Generative Adversarial Network for Abstractive Text Summarization Linqing Liu, Yao Lu, Min Yang, Qiang Qu, Jia Zhu, Hongyan Li
AAAI18[pdf] [code] - Improving Neural Abstractive Document Summarization with Explicit Information Selection Modeling Wei Li, Xinyan Xiao, Yajuan Lyu, Yuanzhuo Wang
EMNLP18[pdf] - Extractive Summarization Using Multi-Task Learning with Document Classification Masaru Isonuma, Toru Fujino, Junichiro Mori, Yutaka Matsuo, Ichiro Sakata
EMNLP17[pdf] - SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents Ramesh Nallapati, Feifei Zhai, Bowen Zhou
AAAI17[pdf] [code] - Text Summarization through Entailment-based Minimum Vertex Cover Anand Gupta, Manpreet Kaur, Shachar Mirkin, Adarsh Singh, Aseem Goyal
ENLG13[pdf]
- EASE: Extractive-Abstractive Summarization with Explanations Haoran Li, Arash Einolghozati, Srinivasan Iyer, Bhargavi Paranjape, Yashar Mehdad, Sonal Gupta, Marjan Ghazvininejad [pdf]
- Semantic Extractor-Paraphraser based Abstractive Summarization Anubhav Jangra, Raghav Jain, Vaibhav Mavi, Sriparna Saha, Pushpak Bhattacharyya [pdf]
- Contextualized Rewriting for Text Summarization Guangsheng Bao, Yue Zhang
AAAI21[pdf] - Jointly Extracting and Compressing Documents with Summary State Representations Afonso Mendes, Shashi Narayan, Sebastião Miranda, Zita Marinho, André F. T. Martins, Shay B. Cohen
NAACL19[pdf] [code]
- Deep Recurrent Generative Decoder for Abstractive Text Summarization Piji Li, Wai Lam, Lidong Bing, Zihao Wang
EMNLP17[pdf] - Document Summarization with VHTM: Variational Hierarchical Topic-Aware Mechanism Xiyan Fu, Jun Wang, Jinghan Zhang, Jinmao Wei, Zhenglu Yang
AAAI20[pdf]
- Compressive Summarization with Plausibility and Salience Modeling Shrey Desai, Jiacheng Xu, Greg Durrett
EMNLP20[pdf] [code] - StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime Carbonell, Yulia Tsvetkov
EACL21[pdf] [code] - Joint Parsing and Generation for Abstractive Summarization Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Chen Li, Dong Yu, Fei Liu
AAAI20[pdf] [code] - Neural Extractive Text Summarization with Syntactic Compression Jiacheng Xu, Greg Durrett
EMNLP19[pdf] [code] - Single Document Summarization as Tree Induction Yang Liu, Ivan Titov, Mirella Lapata
NAACL19[pdf] [code]
- Text Summarization with Latent Queries Yumo Xu, Mirella Lapata [pdf]
- Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention Ningyu Zhang, Shumin Deng, Juan Li, Xi Chen, Wei Zhang, Huajun Chen
Findings of EMNLP[pdf] - Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summary Daniel Deutsch, Tania Bedrax-Weiss, Dan Roth [pdf] [code]
- Guiding Extractive Summarization with Question-Answering Rewards Kristjan Arumae, Fei Liu
NAACL19[pdf] [code] - A Semantic QA-Based Approach for Text Summarization Evaluation Ping Chen, Fei Wu, Tong Wang, Wei Ding
AAAI18[pdf]
- Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic Rewards Shweta Yadav, Deepak Gupta, Asma Ben Abacha, Dina Demner-Fushman
ACL 2021 short[pdf] [code] - Generating Query Focused Summaries from Query-Free Resources
ACL 2021Yumo Xu, Mirella Lapata [pdf] [code] - Improve Query Focused Abstractive Summarization by Incorporating Answer Relevance Dan Su, Tiezheng Yu, Pascale Fung
ACL21[pdf] [code] - D2S: Document-to-Slide Generation Via Query-Based Text Summarization Edward Sun, Yufang Hou, Dakuo Wang, Yunfeng Zhang, Nancy X.R. Wang
NAACL21[pdf] [code]
- Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Zhaopeng Tu
ICLR21[pdf] - Improving Abstractive Text Summarization with History Aggregation Pengcheng Liao, Chuang Zhang, Xiaojun Chen, Xiaofei Zhou [pdf] [code]
- Discourse-Aware Unsupervised Summarization for Long Scientific Documents Yue Dong, Andrei Mircea Romascanu, Jackie Chi Kit Cheung
EACL21[pdf] [code] - Discourse Understanding and Factual Consistency in Abstractive Summarization Saadia Gabriel, Antoine Bosselut, Jeff Da, Ari Holtzman, Jan Buys, Kyle Lo, Asli Celikyilmaz, Yejin Choi
EACL21[pdf] [code] - Predicting Discourse Trees from Transformer-based Neural Summarizers Wen Xiao, Patrick Huber, Giuseppe Carenini
NAACL21[pdf] [code] - Do We Really Need That Many Parameters In Transformer For Extractive Summarization? Discourse Can Help ! Wen Xiao, Patrick Huber, Giuseppe Carenini
EMNLP20 Workshop[pdf] - Dialogue Discourse-Aware Graph Convolutional Networks for Abstractive Meeting Summarization Xiachong Feng, Xiaocheng Feng, Bing Qin, Xinwei Geng, Ting Liu [pdf]
- Restructuring Conversations using Discourse Relations for Zero-shot Abstractive Dialogue Summarization Prakhar Ganesh, Saket Dingliwal [pdf]
- Unsupervised Neural Single-Document Summarization of Reviews via Learning Latent Discourse Structure and its Ranking Masaru Isonuma, Junichiro Mori, Ichiro Sakata
ACL19[pdf] [code] - Exploiting Discourse-Level Segmentation for Extractive Summarization Zhengyuan Liu, Nancy Chen
EMNLP19[pdf] - A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents Arman Cohan, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Seokhwan Kim, Walter Chang, Nazli Goharian
NAACL18[pdf] [data]
- Movie Summarization via Sparse Graph Construction Pinelopi Papalampidi, Frank Keller, Mirella Lapata
AAAI21[pdf] [code]
- Few-Shot Learning of an Interleaved Text Summarization Model by Pretraining with Synthetic Data Sanjeev Kumar Karn, Francine Chen, Yan-Ying Chen, Ulli Waltinger, Hinrich Schütze
EACL21[pdf] - AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive Summarization Tiezheng Yu, Zihan Liu, Pascale Fung
NAACL21[pdf] [code] - Meta-Transfer Learning for Low-Resource Abstractive Summarization Yi-Syuan Chen, Hong-Han Shuai
AAAI21[pdf] [code]
- Transformer Reasoning Network for Personalized Review Summarization Hongyan Xu, Hongtao Liu, Pengfei Jiao, Wenjun Wang
SIGIR 2021[pdf] - PENS: A Dataset and Generic Framework for Personalized News Headline Generation Xiang Ao Xiting Wang Ling Luo Ying Qiao Qing He Xing Xie
ACL 2021[pdf] [data] - Collabot: Personalized Group Chat Summarization Naama Tepper, Anat Hashavit, Maya Barnea, Inbal Ronen, Lior Leiba
WSDM18[pdf] - Context Enhanced Personalized Social Summarization Po Hu, Donghong Ji, Chong Teng, Yujing Guo
COLING12[pdf]
- Hone as You Read: A Practical Type of Interactive Summarization Tanner Bohn, Charles X. Ling [pdf]
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