cxncu001

BERT-E2E-ABSA

Exploiting BERT for End-to-End Aspect-based Sentiment Analysis (W-NUT@EMNLP'19)

BiLSTM-LAN

Hierarchically-Refined Label Attention Network for Sequence Labeling

BioNER-Progress

This repository aims to track the progress in BioNER and give a related paper list and an overview of the state-of-the-art (SOTA).

boundary-aware-nested-ner

Code for EMNLP 2019 paper "A Boundary-aware Neural Model for Nested Named Entity Recognition"

cail2019

法研杯2019相似案例匹配第二名解决方案（附数据集和文档）

CAIL2019-1

**法研杯司法人工智能挑战赛之相似案例匹配第一名解决方案

ChineseNLPCorpus-1

中文自然语言处理数据集，平时做做实验的材料。欢迎补充提交合并。

CLUE

中文任务基准测评 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

CLUENER2020

CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition

Deep-Learning-with-PyTorch-Tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

Event-Extraction

基于法律裁判文书的事件抽取及其应用，包括数据的分词、词性标注、命名实体识别、事件要素抽取和判决结果预测等内容

EventExtractionPapers

A list of NLP resources focused on event extraction task

gcn

Implementation of Graph Convolutional Networks in TensorFlow

golden-horse

Named Entity Recognition for Chinese social media (Weibo). From EMNLP 2015 paper.

HiAGM

Hierarchy-Aware Global Model for Hierarchical Text Classification

Hierarchical-Multi-Label-Text-Classification

The code of CIKM'19 paper《Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach》

LegalPapers

Must-read Papers on Legal Intelligence

LexiconAugmentedNER

Reject complicated operations for incorporating lexicon for Chinese NER.

meta-weight-net

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

mrc-for-flat-nested-ner

Code for ACL 2020 paper `A Unified MRC Framework for Named Entity Recognition`

NeuralNLP-NeuralClassifier

An Open-source Neural Hierarchical Multi-label Text Classification Toolkit

NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

oposum

pygcn

Graph Convolutional Networks in PyTorch

pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

SCPapers

Must-read Papers on Sememe Computation

seq2seq.pytorch

Sequence-to-Sequence learning using PyTorch

Text-Pairs-Relation-Classification

About Text Pairs (Sentence Level) Classification (Similarity Modeling) Based on Neural Network.

TransCap

Zhuang Chen, Tieyun Qian: Transfer Capsule Network for Aspect Level Sentiment Classification. ACL 2019: 547-556

transformer-xl