Alternatives and similar repositories for bertsum-chinese

Users that are interested in bertsum-chinese are comparing it to the libraries listed below

• bojone / SPACES
  端到端的长本文摘要模型（法研杯2020司法摘要赛道）
  ☆399Updated last year
• Machine-Tom / bertsum-chinese-LAI
  ☆76Updated 6 years ago
• tongchangD / text_data_enhancement_with_LaserTagger
  Modify Chinese text, modified on LaserTagger Model. 文本复述，基于lasertagger做中文文本数据增强。
  ☆322Updated last year
• bojone / t5_in_bert4keras
  整理一下在keras中使用T5模型的要点
  ☆174Updated 3 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 4 years ago
• qiufengyuyi / sequence_tagging
  using bilstm-crf,bert and other methods to do sequence tagging task
  ☆414Updated 2 years ago
• IceFlameWorm / NLP_Datasets
  中文NLP数据集
  ☆158Updated 6 years ago
• bojone / lic2020_baselines
  some baselines for lic2020 (http://lic2020.cipsc.org.cn/)
  ☆219Updated 5 years ago
• wangle1218 / deep_text_matching
  implementation several deep text match (text similarly) models for keras . cdssm, arc-ii,match_pyramid, mvlstm ,esim, drcn ,bimpm, bert, …
  ☆291Updated 4 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)
  ☆141Updated 5 years ago
• zhusleep / pytorch_chinese_lm_pretrain
  pytorch中文语言模型预训练
  ☆388Updated 5 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)
  ☆137Updated 3 years ago
• YJiangcm / Chinese-sentence-pair-modeling
  Use deep models including BiLSTM, ABCNN, ESIM, RE2, BERT, etc. and evaluate on 5 Chinese NLP datasets: LCQMC, BQ Corpus, ChineseSTS, OCN…
  ☆77Updated 3 years ago
• CLUEbenchmark / CLGE
  Chinese Language Generation Evaluation 中文生成任务基准测评
  ☆248Updated 4 years ago
• china-ai-law-challenge / CAIL2020
  ☆157Updated 4 years ago
• 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
  ☆185Updated 2 years ago
• HuiResearch / cail2019_track2
  中国法研杯CAIL2019要素抽取任务第三名方案分享
  ☆139Updated 4 years ago
• YunwenTechnology / Unilm
  ☆441Updated 3 years ago
• sunyilgdx / SIFRank_zh
  Keyphrase or Keyword Extraction 基于预训练模型的中文关键词抽取方法（论文SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained La…
  ☆431Updated 5 years ago
• zhanlaoban / Transformers_for_Text_Classification
  基于Transformers的文本分类
  ☆342Updated 4 years ago
• lushishuai / BERT-ROBERTA-pytorch-multi-label-classification
  bert pytorch模型微调用于的多标签文本分类
  ☆137Updated 5 years ago
• ZhuiyiTechnology / WoBERT
  以词为基本单位的中文BERT
  ☆472Updated 3 years ago
• yaleimeng / TextClassify_with_BERT
  使用BERT模型做文本分类；面向工业用途
  ☆222Updated 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…
  ☆189Updated 6 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
  ☆251Updated 4 years ago
• qiufengyuyi / event_extraction
  baidu aistudio event extraction competition
  ☆225Updated 2 years ago
• jkszw2014 / bert-kbqa-NLPCC2017
  A trial of kbqa based on bert for NLPCC2016/2017 Task 5 (基于BERT的中文知识库问答实践，代码可跑通）
  ☆272Updated 6 years ago
• ShuaichiLi / Chinese-sentence-similarity-task
  中文问题句子相似度计算比赛及方案汇总
  ☆303Updated 4 years ago
• v-mipeng / LexiconAugmentedNER
  Reject complicated operations for incorporating lexicon for Chinese NER.
  ☆437Updated 3 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
  ☆129Updated 4 years ago