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Official implementation of "Explicit Interaction Model towards Text Classification"
Open source code for EMNLP 2020 Findings Paper "AGIF: An Adaptive Graph-Interactive Framework for Joint MultipleIntent Detection and Slot Filling"
Tracking the progress in SLU (resources, code, and new frontiers etc.)
Organize multi-label paper classification。
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
K-Means++(HCM), Fuzzy C-Means(FCM), Hierarchical Clustering, DBscan
This repository contains the example code for my blog article Using Celery with Flask.
Graph Neural networks for NLP
An implementation of the paper "HSCNN: A Hybrid-Siamese Convolutional Neural Network for Extremely Imbalanced Multi-label Text Classification"
본 Repo는 EMNLP 2020에 Proceeding된 HSCNN: A Hybrid-Siamese Convolutional Neural Network for Extremely Imbalanced Multi-label Text Classification 을 구현한 Repository입니다.
The code for "Does Head Label Help for Long-Tailed Multi-Label Text Classific"
EMNLP 2021: A Label-Aware BERT Attention Network for Zero-Shot Multi-Intent Detection in Spoken Language Understanding
Official implementation of AAAI-21 paper "Label Confusion Learning to Enhance Text Classification Models"
This repository contains the code for our paper [Enhancing Label Correlation Feedback in Multi-Label Text Classification via Multi-Task Learning]
Label-Specific Document Representation for Multi-Label Text Classification
Open source code for ICASSP 2021 Paper “Injecting Word Information with Multi-Level Word Adapter for Chinese Spoken Language Understanding”
About Muti-Label Text Classification Based on Neural Network.
An Open-source Neural Hierarchical Multi-label Text Classification Toolkit
Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications
datasets of natural language understanding and dialogue state tracking
Sequence Generation Model for Multi-label Classification (COLING 2018)
Multi-Label Learning from Single Positive Labels - CVPR 2021
Open source code for EMNLP-19 Paper "A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding".
Code for the article "Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification" (EMNLP 2018)
文本分类资源汇总,包括深度学习文本分类模型,如SpanBERT、ALBERT、RoBerta、Xlnet、MT-DNN、BERT、TextGCN、MGAN、TextCapsule、SGNN、SGM、LEAM、ULMFiT、DGCNN、ELMo、RAM、DeepMoji、IAN、DPCNN、TopicRNN、LSTMN 、Multi-Task、HAN、CharCNN、Tree-LSTM、DAN、TextRCNN、Paragraph-Vec、TextCNN、DCNN、RNTN、MV-RNN、RAE等,浅层学习模型,如LightGBM 、SVM、XGboost、Random Forest、C4.5、CART、KNN、NB、HMM等。介绍文本分类数据集,如MR、SST、MPQA、IMDB、Yelp、20NG、AG、R8、DBpedia、Ohsumed、SQuAD、SNLI、MNLI、MSRP、MRDA、RCV1、AAPD,评价指标,如accuracy、Precision、Recall、F1、EM、MRR、HL、Micro-F1、Macro-F1、P@K,和技术挑战,包括多标签文本分类。
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.