A Compare-Aggregate Model with Dynamic-Clip Attention for Answer Selection-Reference-Cited by-同舟云学术

A Compare-Aggregate Model with Dynamic-Clip Attention for Answer Selection

Published:2017-11-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2017 ACM on Conference on Information and Knowledge Management
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Author:

Bian Weijie¹,Li Si¹,Yang Zhao¹,Chen Guang¹,Lin Zhiqing¹

Affiliation:

1. Beijing University of Posts and Telecommunications, Beijing, China

Funder

the Fundamental Research Funds for the Central Universities

Beijing Natural Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3132847.3133089

Reference17 articles.

1. Hua He and Jimmy Lin. 2016. Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement NAACL. Hua He and Jimmy Lin. 2016. Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement NAACL.

2. Yoon Kim. 2014. Convolutional Neural Networks for Sentence Classification EMNLP. Yoon Kim. 2014. Convolutional Neural Networks for Sentence Classification EMNLP.

3. Learning to Rank for Information Retrieval

4. Lingxun Meng and Yan Li. 2016. M$^2$S-Net: Multi-Modal Similarity Metric Learning based Deep Convolutional Network for Answer Selection. arXiv:1604.05519. Lingxun Meng and Yan Li. 2016. M$^2$S-Net: Multi-Modal Similarity Metric Learning based Deep Convolutional Network for Answer Selection. arXiv:1604.05519.

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