Name: Shangbin Feng
Type: User
Bio: Ph.D. student, University of Washington. Natural language processing, knowledge graphs, graph mining, social network analysis.
Twitter: shangbinfeng
Location: Seattle, US
Blog: bunsenfeng.github.io
Shangbin Feng's Projects
We proposed social media bot detection model Botection which exploits both semantic information and user metadata to enhance task performance. This repository also includes labelled dataset collected on Chinese social media Weibo. Work under progress.
Code listing for the paper 'Heterogeneity-aware Twitter Bot Detection with Relational Graph Transformers'. AAAI 2022.
Code listing for the paper 'BotRGCN: Twitter Bot Detection with Relational Graph Convolutional Networks'. ASONAM 2021.
homepage for Shangbin Feng
Code for "CooK: Empowering General-Purpose Langauge Models with Modular and Collaborative Knowledge"
Code listing for the paper 'Encoding Heterogeneous Social and Political Context for Entity Stance Prediction'. Work in progress.
Code for "FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge". EMNLP 2023.
Code for "Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models", ICLR 2024 Oral.
Code listing for the paper 'Knowledge Graph Augmented Political Perspective Detection in News Media'. Work in progress.
PAR: Political Actor Representation Learning with Social Context and Expert Knowledge. EMNLP 2022.
Code for "From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models". ACL 2023. Best Paper Award.
Code listing for the paper 'SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection'. CIKM 2021.
A comprehensive benchmark for Twitter bot detection. CIKM 2021.