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ace2005chinese_preprocess

ACE 2005 corpus preprocessing for Event Extraction task

atlop

Source code for paper "Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling", AAAI 2021

awesome-mner

awesome-multimodal-named-entity-recognition

bert-event-extraction

Pytorch Solution of Event Extraction Task using BERT on ACE 2005 corpus

bert-ner-pytorch

Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)

biaffinedependencyparsing

BERT+Self-attention Encoder ; Biaffine Decoder ; Pytorch Implement

bist-parser

Graph-based and Transition-based dependency parsers based on BiLSTMs

causal_event

金融文本中的原因事件

chinese-clinical-ner

CCKS2019中文命名实体识别任务。从医疗文本中识别疾病和诊断、解剖部位、影像检查、实验室检验、手术和药物6种命名实体。现已实现基于jieba和AC自动机的baseline构建、基于BiLSTM和CRF的序列标住模型构建。bert的部分代码主要源于https://github.com/charles9n/bert-sklearn.git 感谢作者。 模型最终测试集得分0.81，还有较大改进空间。可以当做一个baseline。

cluedatasetsearch

搜索所有中文NLP数据集，附常用英文NLP数据集

cmu-multinlp

Generalizing Natural Language Analysis through Span-relation Representations

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

discourse-analysis

Some representative papers for : Discourse Analysis, Discourse Parsing, Discourse Relation Recogntion

discoursedependencyparsing

easy-rl

强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/

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

event-extraction-paper

Event extraction paper List

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

improve-discourse-dependency-parsing-with-contextualized-representations

Implementation of the paper 'Improve Discourse Dependency Parsing with Contextualized Representations', Findings of NAACL 2022

information-retrieval

Some representative papers for : Named Entity Recognition, Event Detection and Extraction

jieba

结巴中文分词

latticelstm

Chinese NER using Lattice LSTM. Code for ACL 2018 paper.

ldsgm

Code for 'A Label Dependence-aware Sequence Generation Model for Multi-level Implicit Discourse Relation Recognition (AAAI 2022)'

leven

Source code and dataset for ACL2022 Findings Paper "LEVEN: A Large-Scale Chinese Legal Event Detection dataset"

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

naive-bayes-digit-recognition

Handwritten digit recognition (MNIST dataset) using naive Bayes implemented in Python. Achieves about 85% accuracy.

neuraleduseg

A toolkit for discourse segmentation (EDU segmentation).

neuralrst-topdown

EACL 2021

neuronlp2

Deep neural models for core NLP tasks (Pytorch version)

nli

Models for Nature Language Inference (Tensorflow Version), including 'A Decomposable Attention Model for Natural Language Inference', ..., to be continued.