Match-LSTM閱讀理解論文筆記Machine Comprehension Using Match-LSTM and Answer Pointer
《Machine Comprehension Using Match-LSTM and Answer Pointer》 這篇論文介紹了一種端到端解決機器閱讀理解問答任務的方法，結合了Match-LSTM和Pointer Net。該文是第一個在SQuAD數據集上測試的端到端神經網絡模型。最終訓練效果好於原數據集發佈時附帶的手動抽取特徵+LR模型。 轉載自Here torch源碼Here tf源碼He
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相關文章
- 1. MACHINE COMPREHENSION USING MATCH-LSTM AND ANSWER POINTER(MATCH-LSTM)
- 2. machine comprehension using match-lstm and answer pointer
- 3. [ICLR2017] Machine Comprehension Using Match-LSTM and Answer Pointer
- 4. 論文分享 - Machine Comprehension Using Match-LSTM and Answer Pointer
- 5. 論文分享 - Machine Comprehension Using Match-LSTM and Answer Pointe
- 6. 論文筆記--From Answer Extraction to Answer Generation for Machine Reading Comprehension (S-Net)
- 7. V-Net 《Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification》閱讀理解筆記
- 8. 閱讀理解BI-DAF《BI-DIRECTIONAL ATTENTION FLOW FOR MACHINE COMPREHENSION》筆記
- 9. M4C:Iterative Answer Prediction with Pointer-Augmented Multimodal Transformers for TextVQA ---論文閱讀筆記
- 10. 論文閱讀|Cross-Lingual Machine Reading Comprehension