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Estimation improvement of objective scores of answer statements with consideration of semantic similarity

  • Yuya Yokoyama
  • , Teruhisa Hochin
  • , Hiroki Nomiya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

To eliminate mismatches between the intentions of questioners and respondents of Question and Answer (QA) sites, we have clarified that the impression of the statements could be captured by nine factors, and the factor scores could be estimated from the feature values of the statements. Objective scores of the statements could be estimated fairly good, and that those of subjective statements could be estimated well by taking the natural logarithm of the factor scores with the consideration of cross-validation. This paper tries to perform multiple regression analysis with the consideration of semantic similarity between QA. A statement is represented with an average word vector of the words appearing in the statement. The semantic similarity of two statements is calculated through the cosine of the two average word vectors of the two statements. As a result, there could be a possibility that semantic similarity would be effective in estimating objective scores.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE/ACIS 19th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2018
EditorsHa Jin Hwang, Lizhi Cai, Gun Huck Yeom, Tokuro Matsuo, Haeng Kon Kim, Hyun Yeo, Chung Sun Hong, Naoki Fukuta, Takayuki Ito, Huaikou Miao
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages188-193
Number of pages6
ISBN (Print)9781538658895
DOIs
Publication statusPublished - 20-08-2018
Externally publishedYes
Event19th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2018 - Busan, Korea, Republic of
Duration: 27-06-201829-06-2018

Publication series

NameProceedings - 2018 IEEE/ACIS 19th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2018

Conference

Conference19th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2018
Country/TerritoryKorea, Republic of
CityBusan
Period27-06-1829-06-18

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Software
  • Control and Optimization
  • Information Systems and Management

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