Adaptive Document Retrieval for Deep Question Answering
EMNLP 2018 Adaptive Document Retrieval for Deep Question Answering 背景 阅读理解模型的处理过程可以分为两步： 从文档集中根据问题检索可能包含答案的文档 从检索到的文档中寻找包含答案的具体区域 现有的方法在以上的两步各自都可以取得不错的效果，但是很少有人思考针对于不同的数据集到底应该检索多少文档。如果按照某种经验来做，往往会带来不少
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相关文章
- 1. Deep Learning for Information Retrieval
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- 7. Evaluation of Deep Convolutional Nets for Document Image Classification and Retrieval 论文笔记
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- 9. 2020 cvpr Hierarchical Conditional Relation Networks for Video Question Answering
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