MACHINE COMPREHENSION USING MATCH-LSTM AND ANSWER POINTER(MATCH-LSTM)
原文鏈接：https://arxiv.org/pdf/1608.07905.pdf 原文代碼：https://github.com/shuohangwang/SeqMatchSeq ABSTRACT: 機器理解是自然語言處理中的一個重要問題。最近發佈的數據集Stanford Question answers dataset (SQuAD)提供了大量由人類通過衆包創建的真實問題及其答案。SQuAD爲
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相關文章
- 1. machine comprehension using match-lstm and answer pointer
- 2. [ICLR2017] Machine Comprehension Using Match-LSTM and Answer Pointer
- 3. 論文分享 - Machine Comprehension Using Match-LSTM and Answer Pointe
- 4. 論文分享 - Machine Comprehension Using Match-LSTM and Answer Pointer
- 5. 論文筆記--From Answer Extraction to Answer Generation for Machine Reading Comprehension (S-Net)
- 6. Match-LSTM閱讀理解論文筆記Machine Comprehension Using Match-LSTM and Answer Pointer
- 7. 論文筆記--Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification (V-Net)
- 8. A Robust Adversarial Training Approach to Machine Reading Comprehension
- 9. V-Net 《Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification》閱讀理解筆記
- 10. BI-DIRECTIONAL ATTENTION FLOW FOR MACHINE COMPREHENSION