sys1874 / chinese-textsum
seq2seq+attention model for Chinese textsum
☆41Updated 7 years ago
Alternatives and similar repositories for chinese-textsum:
Users that are interested in chinese-textsum are comparing it to the libraries listed below
- ☆121Updated 7 years ago
- use ELMo in chinese environment☆104Updated 6 years ago
- textsum for Chinese☆16Updated 6 years ago
- 基于capsule的观点型阅读理解模型☆89Updated 5 years ago
- code for "Deep Recurrent Generative Decoder for Abstractive Text Summarization"☆52Updated 4 years ago
- 基于BERT的中文序列标注☆141Updated 6 years ago
- WikiQA,复现论文《APPLYING DEEP LEARNING TO ANSWER SELECTION: A STUDY AND AN OPEN TASK》☆29Updated 5 years ago
- 面向金融领域的事件主体抽取(ccks2019),一个baseline☆119Updated 5 years ago
- Tensorflow+bilstm+attention+multi label text classify☆121Updated 6 years ago
- siamese dssm sentence_similarity sentece_similarity_rank tensorflow☆60Updated 6 years ago
- AI Challenger 2018 观点型问题阅读理解 复赛第8名 解决方案 (8th place of AI Challenger 2018 MRC)☆90Updated 6 years ago
- pytorch用Textcnn-bilstm-crf模型实现命名实体识别☆41Updated 6 years ago
- NLP Keras BiLSTM+CRF☆52Updated 6 years ago
- ☆31Updated 6 years ago
- Adversarial Attack文本匹配比赛☆42Updated 5 years ago
- Byte Cup 2018 International Machine Learning Contest (3rd prize)☆77Updated 2 years ago
- 2019 语言与智能技术竞赛-知识驱动对话 B榜第5名源码和模型☆25Updated 5 years ago
- ☆39Updated 7 years ago
- Byte Cup 2018国际机器学习竞赛 23 名(水滴队)代码☆46Updated 6 years ago
- 中文预训练模型生成字向量学习,测试BERT,ELMO的中文效果☆98Updated 5 years ago
- 2018百度机器阅读理解技术竞赛☆167Updated 6 years ago
- Our experience & lesson & code☆48Updated 7 years ago
- NLPCC 2017 task3 article text summary☆22Updated 7 years ago
- keras sparse implement of margin-softmax☆100Updated 6 years ago
- 2019年百度的实体链指比赛(ccks2019),一个baseline☆113Updated 5 years ago
- 这是一个用于解决生成在生成任务中(翻译,复述等等),多样性不足问题的模型。☆45Updated 5 years ago
- LCSTS,ROUGE,short text summarization,NLG,seq2seq☆22Updated 7 years ago
- 这是一个seq2seq模型,编码器是bert,解码器是transformer的解码器,可用于自然语言处理中文本生成领域的任务☆71Updated 5 years ago
- baseline for ccks2019-ipre☆48Updated 5 years ago
- 基于字符训练词向量☆88Updated 6 years ago