Alternatives and similar repositories for oqmrc2018:

Users that are interested in oqmrc2018 are comparing it to the libraries listed below

• NoneWait / ai_challenge_2018_mrc
  ai challenge 2018 's final code.
  ☆16Updated 6 years ago
• jingyihiter / myDuReader
  2018百度机器阅读理解竞赛
  ☆27Updated 6 years ago
• jimth001 / NLPCC2018_Multi_Turn_Response_Selection
  NLPCC2018 sub-task 2 of task 5, we propose RCMN model for multi-turn response selection.
  ☆7Updated 5 years ago
• AlexYangLi / tf_CFO
  Tensorflow implementation of CFO, a knowledge graph based QA system
  ☆27Updated 6 years ago
• zhpmatrix / Kaggle-Quora-Insincere-Questions-Classification
  Kaggle新赛(baseline)-基于BERT的fine-tuning方案+基于tensor2tensor的Transformer Encoder方案
  ☆61Updated 6 years ago
• yuhsinliu1993 / Quora_QuestionPairs_DL
  Kaggle Competition: Using deep learning to solve quora's question pairs problem
  ☆54Updated 7 years ago
• yizhongw / WikiQA-Selection
  Answer selection task based on WikiQA datatest.
  ☆45Updated 8 years ago
• lc222 / attention-over-attention-tf-QA
  论文“Attention-over-Attention Neural Networks for Reading Comprehension”中AoA模型实现
  ☆57Updated 7 years ago
• WenRichard / ELMO-NLP
  ELMO在QA问答，文本分类等NLP上面的应用
  ☆15Updated 6 years ago
• militaryai2018 / MachineReading
  “莱斯杯”全国第一届“军事智能·机器阅读”挑战赛相关代码
  ☆32Updated 6 years ago
• yuhaitao1994 / AIchallenger2018_MachineReadingComprehension
  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
• maksna / bert-fine-tuning-for-chinese-multiclass-classification
  use google pre-training model bert to fine-tuning for the chinese multiclass classification
  ☆40Updated 6 years ago
• freefuiiismyname / capsule-mrc
  基于capsule的观点型阅读理解模型
  ☆89Updated 5 years ago
• guoday / PaiPaiDai2018_rank16
  ESIM model with lanuage model
  ☆27Updated 6 years ago
• ShawnXiha / Fine-grained-Sentiment-Analysis-of-User-Reviews
  ai challenger Competitions 1: Fine-grained Sentiment Analysis of User Reviews
  ☆18Updated 6 years ago
• person-lee / QA_LSTM_ATTENTION
  lstm with attention to deal with qa
  ☆33Updated 8 years ago
• white127 / TextClassification_CNN_RNN
  Text Classification CNN RNN
  ☆15Updated 7 years ago
• thunlp / CAIL2019
  ☆14Updated 5 years ago
• Quincy1994 / smp2018
  smp2018 contest ( distinguish human writing or robot writing from news )
  ☆19Updated 6 years ago
• foamliu / Reading-Comprehension
  DMN+ 模型的PyTorch 实现（中文数据集）
  ☆19Updated 6 years ago
• JasonForJoy / ESIM-NLI
  Implementation of the ESIM model for natural language inference with Tensorflow
  ☆8Updated 6 years ago
• WenRichard / CNN-in-Answer-selection
  WikiQA，复现论文《APPLYING DEEP LEARNING TO ANSWER SELECTION: A STUDY AND AN OPEN TASK》
  ☆29Updated 5 years ago
• TianyuZhuuu / CHIP2018
  CHIP2018问句匹配大赛 Rank6解决方案
  ☆21Updated 6 years ago
• circlePi / knowledge-driven-dialogue-lic2019
  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
• antdlx / aic18_rc
  codes for ai challenger 2018 machine reading comprehension
  ☆27Updated 6 years ago
• renjunxiang / daguan_2019
  2019达观杯实体识别
  ☆19Updated 5 years ago
• bozheng-hit / ELMo
  ☆51Updated 6 years ago
• SeanLee97 / duReader_pytorch
  基于duReader的阅读理解
  ☆9Updated 6 years ago
• HsiaoYetGun / ESIM
  TensorFlow implementation of the ESIM model (Enhanced LTSM for natural language inference)
  ☆76Updated 6 years ago
• HaishuoFang / Find_New_token
  ☆14Updated 6 years ago