Enhanced embedding based attentive pooling network for answer selection

Zhan Su, Benyou Wang, Jiabin Niu, Shuchang Tao, Peng Zhang*, Dawei Song

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Document-based Question Answering tries to rank the candidate answers for given questions, which needs to evaluate matching score between the question sentence and answer sentence. Existing works usually utilize convolution neural network (CNN) to adaptively learn the latent matching pattern between the question/answer pair. However, CNN can only perceive the order of a word in a local windows, while the global order of the windows is ignored due to the window-sliding operation. In this report, we design an enhanced CNN (https://github.com/shuishen112/pairwise-deep-qa) with extended order information (e.g. overlapping position and global order) into inputting embedding, such rich representation makes it possible to learn an order-aware matching in CNN. Combining with standard convolutional paradigm like attentive pooling, pair-wise training and dynamic negative sample, this end-to-end CNN achieve a good performance on the DBQA task of NLPCC 2017 without any other extra features.

Original languageEnglish
Title of host publicationNatural Language Processing and Chinese Computing - 6th CCF International Conference, NLPCC 2017, Proceedings
EditorsXuanjing Huang, Jing Jiang, Dongyan Zhao, Yansong Feng, Yu Hong
PublisherSpringer Verlag
Pages693-700
Number of pages8
ISBN (Print)9783319736174
DOIs
Publication statusPublished - 2018
Externally publishedYes
Event6th CCF International Conference on Natural Language Processing and Chinese Computing, NLPCC 2017 - Dalian, China
Duration: 8 Nov 201712 Nov 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10619 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th CCF International Conference on Natural Language Processing and Chinese Computing, NLPCC 2017
Country/TerritoryChina
CityDalian
Period8/11/1712/11/17

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