An Intelligent Question Answering System for University Courses Based on BiLSTM and Keywords Similarity

Chunyan Ma, Baomin Li, Tong Zhao, Wei Wei

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

Abstract

The application of intelligent question answering system in college assistant teaching is an effective way to reduce the workload of university teachers and improve students’ learning efficiency. With the rapid development of related technologies, the intelligent question answering system has made great progress, but there is little related work in answering students’ university course questions, and there are some problems such as poor accuracy and non universality. Because of this reason, it cannot fully meet the demands of universities. Therefore, this paper proposes an intelligent question answering system for professional questions. First, we select candidate question-and-answer pairs in the knowledge base through professional word matching, and then use the attention mechanism proposed in this paper and bi-directional long short term memory network (BiLSTM) to calculate the semantic similarity between query questions and candidate questions. Multiplying the semantic similarity by the keywords similarity of the two questions as the final similarity. Finally, we push the three most similar candidate questions and the corresponding answers to students. The experimental results show that the system improves the accuracy of answering students’ university course questions, and is applicable to any university course.

Original languageEnglish
Title of host publicationAdvances in Brain Inspired Cognitive Systems - 9th International Conference, BICS 2018, Proceedings
EditorsAmir Hussain, Bin Luo, Jiangbin Zheng, Xinbo Zhao, Cheng-Lin Liu, Jinchang Ren, Huimin Zhao
PublisherSpringer Verlag
Pages625-632
Number of pages8
ISBN (Print)9783030005627
DOIs
StatePublished - 2018
Event9th International Conference on Brain-Inspired Cognitive Systems, BICS 2018 - Xi'an, China
Duration: 7 Jul 20188 Jul 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10989 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Brain-Inspired Cognitive Systems, BICS 2018
Country/TerritoryChina
CityXi'an
Period7/07/188/07/18

Keywords

  • Intelligent question answering system
  • Keywords similarity
  • Semantic similarity

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