Alternatives and similar repositories for TextSummary:

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

• CourteousWood / text-summarization
  基于TensorFlow，seq2seq+attention+beamsearch的文本摘要。
  ☆59Updated 6 years ago
• taoyafan / abstractive_summarization
  Byte Cup 2018国际机器学习竞赛 23 名（水滴队）代码
  ☆46Updated 6 years ago
• pengming617 / text_classification
  关于文本分类的许多方法，主要涉及到TextCNN，TextRNN, LEAM, Transformer，Attention, fasttext, HAN等
  ☆75Updated 6 years ago
• sys1874 / chinese-textsum
  seq2seq+attention model for Chinese textsum
  ☆41Updated 7 years ago
• morenjiujiu / Chinese_Bert_Classification
  Bert中文文本分类
  ☆40Updated 6 years ago
• Machine-Tom / bertsum-chinese-LAI
  ☆74Updated 5 years ago
• cjymz886 / text_bert_cnn
  在bert模型的pre_training基础上进行text_cnn文本分类
  ☆78Updated 5 years ago
• real-brilliant / bert_chinese_pytorch
  bert for chinese text classification
  ☆142Updated 6 years ago
• XingyanLee / Chinese-NER
  bilstm _Attention_crf
  ☆37Updated 6 years ago
• hquzhuguofeng / New-Pointer-Generator-Networks-for-Summarization-Chinese
  基于transformer的指针生成网络
  ☆92Updated 4 years ago
• xuhaiming1996 / Bert2Transformer
  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
• realcactus / bert
  TensorFlow code and pre-trained models for BERT
  ☆58Updated 4 years ago
• wangbin4317 / BDCI_Car_2018-master
  汽车主题情感分析大赛冠军
  ☆27Updated 6 years ago
• zpppy / seq2seq-chinese-textsum
  ☆121Updated 7 years ago
• hquzhuguofeng / New-Pointer-Generator-Networks-for-Summarization
  指针生成网络的文本摘要
  ☆18Updated 4 years ago
• zhanlaoban / NLP_PEMDC
  NLP Predtrained Embeddings, Models and Datasets Collections(NLP_PEMDC). The collection will keep updating.
  ☆64Updated 5 years ago
• phychaos / transformer_crf
  transformer crf 命名实体识别
  ☆106Updated 6 years ago
• AidenHuen / BERT-BiLSTM-CRF
  BERT-BiLSTM-CRF的Keras版实现
  ☆40Updated 5 years ago
• ztz818 / Automatic-generation-of-text-summaries
  使用两种方法（抽取式Textrank和概要式seq2seq）自动提取文本摘要
  ☆216Updated 5 years ago
• jiangzhongkai / NLP_From_Zero_to_One
  主要是实现nlp常用网络以及结果比较，各模型的优劣势，如:FastText,TextCNN,TextRNN,TextRCNN,BiLSTM,Seq2seq,BERT,Transformer,ELMo以及Attention机制等等。
  ☆45Updated 6 years ago
• searobbersduck / ELMo_Chin
  use ELMo in chinese environment
  ☆104Updated 6 years ago
• cy576013581 / text-classification
  文本分类的目前测试效果较好的算法
  ☆56Updated 5 years ago
• FuYanzhe2 / Relation-extraction
  关系抽取个人实战总结以及开源工具包使用
  ☆56Updated 6 years ago
• X-jun-0130 / Easy_CWS_biLSTM_CRF
  biLSTM_CRF 中文分词
  ☆34Updated 6 years ago
• yanyusong / HAN
  使用分层注意力机制 HAN + 多任务学习 解决 AI Challenger 细粒度用户评论情感分析 。https://challenger.ai/competition/fsauor2018
  ☆58Updated 5 years ago
• PeaceWish / seq2seq_textsum
  textsum for Chinese
  ☆16Updated 6 years ago
• cedar33 / bert_ner
  基于bert的ner，使用bilstm+crf
  ☆32Updated 4 years ago
• mattzheng / LtpExtraction
  基于ltp的简单评论观点抽取模块
  ☆116Updated 6 years ago
• Dr-Corgi / Dependency_SentimentAnalysis
  基于依存句法的句子级细粒度情感计算
  ☆27Updated 7 years ago
• EmbolismSoil / SelfAttentiveSentenceEmbedding-TF
  基于BiLSTM和Self-Attention的文本分类、表示学习网络
  ☆29Updated 6 years ago