A Stacked BiLSTM Neural Network Based on Coattention Mechanism for Question Answering
Joint Authors
Zhou, Sitong
Yan, Xun
Yuan, Rongdi
Cai, Linqin
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-08-21
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Deep learning is the crucial technology in intelligent question answering research tasks.
Nowadays, extensive studies on question answering have been conducted by adopting the methods of deep learning.
The challenge is that it not only requires an effective semantic understanding model to generate a textual representation but also needs the consideration of semantic interaction between questions and answers simultaneously.
In this paper, we propose a stacked Bidirectional Long Short-Term Memory (BiLSTM) neural network based on the coattention mechanism to extract the interaction between questions and answers, combining cosine similarity and Euclidean distance to score the question and answer sentences.
Experiments are tested and evaluated on publicly available Text REtrieval Conference (TREC) 8-13 dataset and Wiki-QA dataset.
Experimental results confirm that the proposed model is efficient and particularly it achieves a higher mean average precision (MAR) of 0.7613 and mean reciprocal rank (MRR) of 0.8401 on the TREC dataset.
American Psychological Association (APA)
Cai, Linqin& Zhou, Sitong& Yan, Xun& Yuan, Rongdi. 2019. A Stacked BiLSTM Neural Network Based on Coattention Mechanism for Question Answering. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1129704
Modern Language Association (MLA)
Cai, Linqin…[et al.]. A Stacked BiLSTM Neural Network Based on Coattention Mechanism for Question Answering. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1129704
American Medical Association (AMA)
Cai, Linqin& Zhou, Sitong& Yan, Xun& Yuan, Rongdi. A Stacked BiLSTM Neural Network Based on Coattention Mechanism for Question Answering. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1129704
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1129704