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Question Answering

125 items from seriousran/awesome-qa ★771

  1. BERT github.com

    A new language representation model which stands for Bidirectional Encoder Representations from Transformers. Unlike recent language representation models, BERT is designed to pre-train deep bidirectional representations by jointly conditioning on both left and right context in…

  2. DeepMind Q&A Dataset; CNN/Daily Mail github.com
  3. BiDAF github.com

    Bi-Directional Attention Flow (BIDAF) network is a multi-stage hierarchical process that represents the context at different levels of granularity and uses bi-directional attention flow mechanism to obtain a query-aware context representation without early summarization.

  4. QANet github.com

    A Q&A architecture does not require recurrent networks: Its encoder consists exclusively of convolution and self-attention, where convolution models local interactions and self-attention models global interactions.

  5. karthinkncode's Datasets for Natural Language Processing github.com
  6. R-Net github.com

    An end-to-end neural networks model for reading comprehension style question answering, which aims to answer questions from a given passage.

  7. NarrativeQA github.com
  8. DrQA github.com

    DrQA is a system for reading comprehension applied to open-domain question answering.

  9. ELI5 github.com
  10. NewsQA github.com
  11. R-Net-in-Keras github.com

    R-NET re-implementation in Keras.

  12. GraphQuestions github.com
  13. https://GitHub.com/matthewfl/nlp-entity-convnet github.com
  14. https://github.com/xwhan/ProQA github.com
  15. CODAH Dataset github.com
  16. https://github.com/wissam-sib/dilbert github.com