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2018 | OriginalPaper | Buchkapitel

Research on Question-Answering System Based on Deep Learning

verfasst von : Bo Song, Yue Zhuo, Xiaomei Li

Erschienen in: Advances in Swarm Intelligence

Verlag: Springer International Publishing

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Abstract

With the continuous development of the network, Question-Answering system has become a way for people to get information quickly. The QA task aims to provide precise and quick answers to user questions from a collection of documents or a database. In this paper, we introduce an attention based deep learning model to match the question and answer sentence. The proposed model employs a bidirectional long-short term memory(BLSTM) to solve the problem of lack features. And we also use the attention mechanism which allows the question to focus on a certain part of the candidate answer. Finally, we evaluate our model and the results show that our approach outperforms the method of feature construction based on machine learning. And the attention mechanism improves the matching accuracy.

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Titel: Research on Question-Answering System Based on Deep Learning
verfasst von: Bo Song
Yue Zhuo
Xiaomei Li
Verlag: Springer International Publishing
Buch: Advances in Swarm Intelligence
Print ISBN: 978-3-319-93817-2

Electronic ISBN: 978-3-319-93818-9

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-93818-9_50

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