MACHINE COMPREHENSION USING MATCH-LSTM AND ANSWER POINTER(MATCH-LSTM)
原文链接：https://arxiv.org/pdf/1608.07905.pdf 原文代码：https://github.com/shuohangwang/SeqMatchSeq ABSTRACT: 机器理解是自然语言处理中的一个重要问题。最近发布的数据集Stanford Question answers dataset (SQuAD)提供了大量由人类通过众包创建的真实问题及其答案。SQuAD为
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相关文章
- 1. machine comprehension using match-lstm and answer pointer
- 2. [ICLR2017] Machine Comprehension Using Match-LSTM and Answer Pointer
- 3. 论文分享 - Machine Comprehension Using Match-LSTM and Answer Pointe
- 4. 论文分享 - Machine Comprehension Using Match-LSTM and Answer Pointer
- 5. 论文笔记--From Answer Extraction to Answer Generation for Machine Reading Comprehension (S-Net)
- 6. Match-LSTM阅读理解论文笔记Machine Comprehension Using Match-LSTM and Answer Pointer
- 7. 论文笔记--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》阅读理解笔记
- 10. BI-DIRECTIONAL ATTENTION FLOW FOR MACHINE COMPREHENSION