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12306

12306智能刷票，订票

ace2005parser

ACE2005事件抽取数据预处理

agriculture_knowledgegraph

农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策

at4chinesener

Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism

awesome-biomedical-entitylinking-papers

The awesome papers for biomedical entitiy linking/entity alignment/NEL

bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private server services

bert_sentence_similarity

Bert预训练模型fine-tune计算文本相似度

bertner

bert-ner for chinese

ccks-2018-ner

CCKS 2018 面向中文电子病历的命名实体识别

ccw-ner

The source code of Chinese Character-Word NER.

celan

This repository includes the source code for Entity Linking on Chinese Microblogs via Deep Neural Network

chinese-word-vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

chinese_ner_with_attention

chinese_nre

Source code for ACL 2019 paper "Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge"

chinesener

A neural network model for Chinese named entity recognition

chinesenre

中文实体关系抽取，pytorch，bilstm+attention

cudnn10.2

deep-ed

Source code for the EMNLP'17 paper "Deep Joint Entity Disambiguation with Local Neural Attention", https://arxiv.org/abs/1704.04920

deep_learn_entity_level_distributed_representation_coreference_chinese

chinese coreference resolution, implementation of paper 1606.01323v2 (stanford)

deepdive_chinese

DeepDive 中文配置

deeptype

Code for the paper "DeepType: Multilingual Entity Linking by Neural Type System Evolution"

diin4ccks

dsner

Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning

el-2019-baseline

2019年百度的实体链指比赛（ccks2019），一个baseline

elmoner

基于ELMo, tensorflow的中文命名实体标注 Chinese Named Entity Recognition Based on ELMo

embedding_study

中文预训练模型生成字向量学习，测试BERT，ELMO的中文效果

entity_linking

实体链接demo

hanlp

自然语言处理 中文分词 词性标注 命名实体识别 依存句法分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁

ie-bert-cnn

一个关于百度2019语言与智能技术竞赛信息抽取 (http://lic2019.ccf.org.cn/kg) 模型, 模型采用BERT+CNN。DEMO地址 https://github.com/Wangpeiyi9979/InformationExtractionDemo