Alternatives and similar repositories for CAIL:

Users that are interested in CAIL are comparing it to the libraries listed below

• HuiResearch / cail2019_track2
  中国法研杯CAIL2019要素抽取任务第三名方案分享
  ☆139Updated 3 years ago
• padeoe / 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）,CAIL2020/2021司法考试赛道冠军队伍
  ☆246Updated 3 years ago
• china-ai-law-challenge / CAIL2021
  ☆134Updated 3 years ago
• NoneWait / cail2019
  法研杯2019 阅读理解赛道 top3
  ☆150Updated last year
• china-ai-law-challenge / CAIL2020
  ☆155Updated 3 years ago
• qiufengyuyi / event_extraction
  baidu aistudio event extraction competition
  ☆225Updated last year
• china-ai-law-challenge / CAIL2018
  ☆74Updated 4 years ago
• gaoyixu / CAIL2020-Argument-Mining
  Baselines for CAIL2020-Argument-Mining: BERT, RNN
  ☆39Updated 4 years ago
• caishiqing / joint-mrc
  机器检索阅读联合学习，莱斯杯：全国第二届“军事智能机器阅读”挑战赛 rank6 方案
  ☆126Updated 4 years ago
• binnz / chinese-qa-with-bert
  基于预训练模型 BERT 的阅读理解
  ☆93Updated last year
• circlePi / Bert_Chinese_Ner_pytorch
  Named Recognition Entity based on BERT and CRF 基于BERT+CRF的中文命名实体识别
  ☆184Updated 2 years ago
• hecongqing / CCKS2019_EventEntityExtraction_Rank5
  SEBERTNets：一种面向金融领域的事件主体抽取方法
  ☆194Updated 2 years ago
• bojone / lic2020_baselines
  some baselines for lic2020 (http://lic2020.cipsc.org.cn/)
  ☆218Updated 4 years ago
• percent4 / ccks_triple_extract
  限定领域的三元组抽取的一次尝试，本文将会介绍笔者在2019语言与智能技术竞赛的三元组抽取比赛方面的一次尝试。
  ☆133Updated last year
• benkang-chen / Event-Extraction
  事件抽取相关算法汇总
  ☆124Updated 5 years ago
• Vincent131499 / Multi_Label_Classifier_finetune
  微调预训练语言模型，解决多标签分类任务(可加载BERT、Roberta、Bert-wwm以及albert等知名开源tf格式的模型)
  ☆139Updated 4 years ago
• xiaofei05 / Chinese-NER
  Chinese NER using BiLSTM/BERT + CRF
  ☆62Updated 3 years ago
• hy-struggle / ccks_ner
  ccks2020 NER competitions
  ☆115Updated 4 years ago
• BonnieHuangxin / Bert_sentence_similarity
  Bert预训练模型fine-tune计算文本相似度
  ☆100Updated last year
• DengYangyong / medical_entity_recognize
  医疗实体识别
  ☆180Updated 4 years ago
• aker218 / Baidu-2020-Language-and-Intelligent-Technology-Competition-Relation-Extraction-rank15
  2020语言与智能技术竞赛：关系抽取任务
  ☆65Updated 4 years ago
• jiangnanboy / albert_lstm_crf_ner
  albert + lstm + crf实体识别，pytorch实现。识别的主要实体是人名、地名、机构名和时间。albert + lstm + crf (named entity recognition)
  ☆136Updated 2 years ago
• llcing / BiLSTM-CRF-ChineseNER.pytorch
  PyTorch implement of BiLSTM-CRF for Chinese NER
  ☆61Updated 5 years ago
• Vincent131499 / TextSim_cn_finetune
  微调预训练语言模型(BERT、Roberta、XLBert等),用于计算两个文本之间的相似度（通过句子对分类任务转换）,适用于中文文本
  ☆90Updated 4 years ago
• kangyishuai / CHINESE-MEDICINE-QUESTION-GENERATION
  “万创杯”中医药天池大数据竞赛——中医文献问题生成挑战 决赛 第一名方案
  ☆131Updated 4 years ago
• lvjianxin / Relationship-extraction
  中文关系抽取
  ☆136Updated 6 years ago
• Wangpeiyi9979 / 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/InformationExtractionDem…
  ☆188Updated 5 years ago
• liushaoweihua / Keras-Bert-Kbqa
  Keras solution of simple Knowledge-Based QA task with Pretrained Language Model: supporting BERT/RoBERTa/ALBERT
  ☆20Updated last year
• powerycy / Lic2020-
  lic2020关系抽取比赛，使用Pytorch实现苏神的模型。
  ☆102Updated 4 years ago
• HuiResearch / epidemicTextMatch
  天池大赛疫情文本挑战赛线上第三名方案分享
  ☆228Updated 3 years ago