Simple and Effective Multi-Paragraph Reading Comprehension
ACL 2018 Simple and Effective Multi-Paragraph Reading Comprehension github 背景 本文是華盛頓大學和艾倫研究所發表在ACL 2018 年上的工作，它主要關注的問題是閱讀理解（Reading Comprehension），並提出了一種處理整篇文檔作爲輸入的段落型QA模型。現有的模型雖然可以在短文檔QA問題上取得不錯的效果，但是
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相關文章
- 1. 【論文筆記】Simple and Effective Multi-Paragraph Reading Comprehension
- 2. Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension閱讀筆記
- 3. Reading Note: Gated Self-Matching Networks for Reading Comprehension and Question Answering
- 4. 【論文翻譯+筆記】Neural Machine Reading Comprehension: Methods and Trends
- 5. Machine Reading Comprehension: The Role of Contextualized Language Models and Beyond
- 6. Gated Self-Matching Networks for Reading Comprehension and Question Answering論文筆記
- 7. Gated Self-Matching Networks for Reading Comprehension and Question Answering論文閱讀筆記
- 8. End-to-End Answer Chunk Extraction and Ranking for Reading Comprehension
- 9. A Robust Adversarial Training Approach to Machine Reading Comprehension
- 10. Alibaba AI Model Tops Humans in Reading Comprehension