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Answer ranking based on named entity types for question answering SCOPUS
- Title
- Answer ranking based on named entity types for question answering
- Date Issued
- 2017-01
- Publisher
- Association for Computing Machinery, Inc
- Abstract
- Question answering (QA) using triples has been widely studied. One important aspect is answer ranking, that is, which answer candidates should be used to find correct answers. We are proposing a new method using type-matching information for ranking QA triples. We recommend using a new ranking method that includes type-matching scores from semantic answer types, and named entity types of answer candidates. Our experiments provided new ranking results with ranking average values that were lower by 24.80. We conclude that our proposed method has great potential for answer ranking. ? 2017 ACM.
- ISSN
- 0000-0000
- Article Type
- Article
- Citation
- Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017, 2017-01
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Related Researcher
- 이근배LEE, GARY GEUNBAE
- Grad. School of AI