Dual Co-Matching Network for Multi-choice Reading Comprehension筆記
Intro 目前流行的SQuAD數據集是比較簡單的MRC任務，由於已經給定了閱讀段落，並且問題的答案已經被徹底的包含在了閱讀段落裏。網絡 本文針對了一個更難的數據集RACE。RACE數據集的問題答案不必定包含在給定的閱讀材料中，這須要模型更加深度地瞭解閱讀材料。post Model 基於BERT來設計的Model， 輸入爲 P Q A，分別爲閱讀材料、問題和候選答案。編碼 Encoding Lay
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相關文章
- 1. Dual Attention Network for Scene Segmentation 論文筆記
- 2. 論文筆記--Multi-Style Generative Reading Comprehension (Masque)
- 3. Gated Self-Matching Networks for Reading Comprehension and Question Answering論文筆記
- 4. 【論文筆記】QANET：Combining Local Convolution With Global Self-attention for Reading Comprehension
- 5. 論文筆記--From Answer Extraction to Answer Generation for Machine Reading Comprehension (S-Net)
- 6. 論文《Adversarial Reading Networks For Machine Comprehension》
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- 9. Gated Self-Matching Networks for Reading Comprehension and Question Answering論文閱讀筆記
- 10. Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension閱讀筆記