Development of Thai question answering system
© 2017 Copyright is held by the owner/author(s). Automatic question answering systems play an important role nowadays. In this paper, we developed a Thai question answering system. From an input question, the system analyzes an expected type of answer (e.g. human, place) then searches for all possib...
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2018
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th-cmuir.6653943832-570312018-09-05T03:34:10Z Development of Thai question answering system Hatsanai Decha Karn Patanukhom Computer Science © 2017 Copyright is held by the owner/author(s). Automatic question answering systems play an important role nowadays. In this paper, we developed a Thai question answering system. From an input question, the system analyzes an expected type of answer (e.g. human, place) then searches for all possible answers from source documents. In order to select the most relevance answer, a word order consistency and a relevance score are proposed to measure similarity of the question and the sentences surrounding the possible answers. Based on an experiment from 210 questions and 50 articles, the proposed system can provide a mean reciprocal answer rank of 0.657. 2018-09-05T03:34:10Z 2018-09-05T03:34:10Z 2017-11-24 Conference Proceeding 2-s2.0-85042129806 10.1145/3162957.3162969 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85042129806&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/57031 |
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Chiang Mai University |
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Chiang Mai University Library |
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Thailand |
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CMU Intellectual Repository |
| topic |
Computer Science |
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Computer Science Hatsanai Decha Karn Patanukhom Development of Thai question answering system |
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© 2017 Copyright is held by the owner/author(s). Automatic question answering systems play an important role nowadays. In this paper, we developed a Thai question answering system. From an input question, the system analyzes an expected type of answer (e.g. human, place) then searches for all possible answers from source documents. In order to select the most relevance answer, a word order consistency and a relevance score are proposed to measure similarity of the question and the sentences surrounding the possible answers. Based on an experiment from 210 questions and 50 articles, the proposed system can provide a mean reciprocal answer rank of 0.657. |
| format |
Conference Proceeding |
| author |
Hatsanai Decha Karn Patanukhom |
| author_facet |
Hatsanai Decha Karn Patanukhom |
| author_sort |
Hatsanai Decha |
| title |
Development of Thai question answering system |
| title_short |
Development of Thai question answering system |
| title_full |
Development of Thai question answering system |
| title_fullStr |
Development of Thai question answering system |
| title_full_unstemmed |
Development of Thai question answering system |
| title_sort |
development of thai question answering system |
| publishDate |
2018 |
| url |
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85042129806&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/57031 |
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