Feature extraction based on information gain and sequential pattern for English question classification-Reference-Cited by-同舟云学术

Feature extraction based on information gain and sequential pattern for English question classification

Published:2018-12 Issue:6 Volume:12 Page:520-526
ISSN:1751-8806
Container-title:IET Software
language:en
Short-container-title:IET softw.

Author:

Liu Yaqing¹²³⁴,Yi Xiaokai¹,Chen Rong¹,Zhai Zhengguo¹,Gu Jingxuan⁵

Affiliation:

1. School of Information Science and Technology Dalian Maritime University 1 Linghai Road Dalian People's Republic of China

2. Artificial Intelligence Key Laboratory of Sichuan Province Sichuan University of Science and Engineering 180 Xueyuan Street Zigong People's Republic of China

3. School of Computer and Software Nanjing University of Information Science and Technology 219 Ningliu Road Nanjing People's Republic of China

4. Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University 2699 Qianjin Street Changchun People's Republic of China

5. Faculty of Chemical, Environmental and Biological Science and Technology Dalian University of Technology 2 Linggong Road Dalian People's Republic of China

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Graphics and Computer-Aided Design

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-sen.2018.0006

Reference48 articles.

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4. Machine learning-based method for question type classification in biomedical question answering;Sarrouti M.;Methods Inf. Med.,2017

5. Toward automated classification of consumers’ cancer-related questions with a new taxonomy of expected answer types

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