論文筆記《Consensus Attention-based Neural Networks for Chinese Reading Comprehension》
原文鏈接 本文發表於人工智能領域B類會議 COLING 2016 摘要 隨着NLP研究如火如荼的發展，機器閱讀理解技術也有了一個爆炸式的增長，一些機構公開的完形填空式的閱讀理解數據集，極大的促進了機器閱讀理解技術的提升。本文首先提出了提出了兩個中文閱讀理解數據集，分別爲日常新聞數據集和兒童通話數據集。此外，本文提出了一種基於consensus attention的神經網絡，其目的是能夠讓注意力機制
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相關文章
- 1. Consensus Attention-based Neural Networks for Chinese Reading
- 2. Attention-over-Attention Neural Networks for Reading Comprehension論文筆記
- 3. 【博文筆記】AoA Reader_Attention-over-Attention Neural Networks for Reading Comprehension
- 4. Attention-over-Attention Neural Networks for Reading Comprehension 訊飛
- 5. Gated Self-Matching Networks for Reading Comprehension and Question Answering論文閱讀筆記
- 6. 論文《Adversarial Reading Networks For Machine Comprehension》
- 7. 論文分享-->Attention-over-Attention Neural Networks for Reading Comprehension
- 8. 【一起讀ACL論文】Attention-over-Attention Neural Networks for Reading Comprehension
- 9. Gated Self-Matching Networks for Reading Comprehension and Question Answering論文筆記
- 10. 【論文翻譯+筆記】Neural Machine Reading Comprehension: Methods and Trends