论文笔记--From Answer Extraction to Answer Generation for Machine Reading Comprehension (S-Net)
First published on indexfziq.github.io at 2019-01-17 19:10:40. Introduction 本文出自微软亚研院，一作是北航的Chuanqi Tan, 代码没有公开，链接为台湾的一位同学用CNTK实现的代码。首次使用了Seq2Seq模型对MS-MARCO阅读理解数据集进行答案生成，比较符合MS-MARCO的本意，同时定义了先抽取再生成的框架
相关文章
- 1. 论文笔记--Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification (V-Net)
- 2. End-to-End Answer Chunk Extraction and Ranking for Reading Comprehension
- 3. Joint Training of Candidate Extraction and Answer Selection for Reading Comprehension 论文阅读笔记
- 4. 【论文翻译+笔记】Neural Machine Reading Comprehension: Methods and Trends
- 5. 论文《Adversarial Reading Networks For Machine Comprehension》
- 6. 【论文笔记03】ReasoNet: Learning to Stop Reading in Machine Comprehension
- 7. MACHINE COMPREHENSION USING MATCH-LSTM AND ANSWER POINTER(MATCH-LSTM)
- 8. V-Net 《Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification》阅读理解笔记
- 9. machine comprehension using match-lstm and answer pointer
- 10. [ICLR2017] Machine Comprehension Using Match-LSTM and Answer Pointer
- 更多相关文章...
- • Docker Machine - Docker教程
- • Scala for循环 - Scala教程
- • Tomcat学习笔记（史上最全tomcat学习笔记）
- • Scala 中文乱码解决
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. 论文笔记--Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification (V-Net)
- 2. End-to-End Answer Chunk Extraction and Ranking for Reading Comprehension
- 3. Joint Training of Candidate Extraction and Answer Selection for Reading Comprehension 论文阅读笔记
- 4. 【论文翻译+笔记】Neural Machine Reading Comprehension: Methods and Trends
- 5. 论文《Adversarial Reading Networks For Machine Comprehension》
- 6. 【论文笔记03】ReasoNet: Learning to Stop Reading in Machine Comprehension
- 7. MACHINE COMPREHENSION USING MATCH-LSTM AND ANSWER POINTER(MATCH-LSTM)
- 8. V-Net 《Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification》阅读理解笔记
- 9. machine comprehension using match-lstm and answer pointer
- 10. [ICLR2017] Machine Comprehension Using Match-LSTM and Answer Pointer