Conference paper
Matching question and answer using similarity: An experiment with stack overflow
2018 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)
IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) 2018 (Chonburi, Thailand, 14/12/2018–16/12/2018)
2018
Abstract
Community question and answer (CQA) sites mostly involve knowledge-bases feeding into their automated question answering systems. This paper focuses on Stack Overflow which is an online community for developers to share knowledge in computer programming. The proposed framework consists of composing of a paired Q&A corpus, followed by building of a document model with the use of paragraph vector in distributed representation via the doc2vec method, then similarity ranking to fetch a matched answer to a given question. The model pairs the two so as to represent the semantic relevance between the questions and answers generated by the proposed method. The initial experimental results have shown the system is able to provide answers automatically and with a performance of 50% accuracy when compared to expert opinions.
Details
- Title
- Matching question and answer using similarity: An experiment with stack overflow
- Authors/Creators
- P. Suta (Author/Creator) - King Mongkut's University of Technology ThonburiP. Mongkolnam (Author/Creator) - King Mongkut's University of Technology ThonburiC.C. Fung (Author/Creator) - Murdoch UniversityJ.H. Chan (Author/Creator) - King Mongkut's University of Technology Thonburi
- Publication Details
- 2018 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)
- Conference
- IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) 2018 (Chonburi, Thailand, 14/12/2018–16/12/2018)
- Identifiers
- 991005540108507891
- Murdoch Affiliation
- School of Engineering and Information Technology
- Language
- English
- Resource Type
- Conference paper
Metrics
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