English-to-Japanese Cross-Language Question-Answering System using Weighted Adding with Multiple Answers

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Auteur principal: Masaki Murata
Format: Artículo científico
Langue:en
Publié: Instituto Politécnico Nacional 2009
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author Masaki Murata
author_facet Masaki Murata
contents English-to-Japanese Cross-Language Question-Answering System using Weighted Adding with Multiple Answers Masaki Murata Masao Utiyama Toshiyuki Kanamaru Hitoshi Isahara Computación cross NTCIR answering decreased adding language question We describe a method of using multiple documents with decreasing weights as evidence to improve the performance of a question-answering system. We also describe how it was used in cross-language question answering (CLQA) tasks. Sometimes, the answer to a question may be found in multiple documents. In such cases, using multiple documents for prediction generates better answers than using a single document. Therefore, our method uses information from multiple documents by adding the scores of candidate answers extracted from the various documents. Because simply adding scores degrades the performance of question-answering systems, we add scores with decreasing weights to reduce the negative effect of simply adding. We used this method in the CLQA part of NTCIR-5. It was incorporated into a commercially available translation system that carries out cross-language question-answering tasks. Our method obtained relatively good CLQA results. 2009 artículo científico 1870-9044 https://www.redalyc.org/articulo.oa?id=402640453003 en http://www.redalyc.org/revista.oa?id=4026 Polibits application/pdf Instituto Politécnico Nacional Polibits (México) Vol.40
format Artículo científico
id redalyc_402640453003
institution Redalyc
language en
publishDate 2009
publisher Instituto Politécnico Nacional
spellingShingle English-to-Japanese Cross-Language Question-Answering System using Weighted Adding with Multiple Answers
Masaki Murata
Computación
cross
NTCIR
answering
decreased adding
language question
English-to-Japanese Cross-Language Question-Answering System using Weighted Adding with Multiple Answers Masaki Murata Masao Utiyama Toshiyuki Kanamaru Hitoshi Isahara Computación cross NTCIR answering decreased adding language question We describe a method of using multiple documents with decreasing weights as evidence to improve the performance of a question-answering system. We also describe how it was used in cross-language question answering (CLQA) tasks. Sometimes, the answer to a question may be found in multiple documents. In such cases, using multiple documents for prediction generates better answers than using a single document. Therefore, our method uses information from multiple documents by adding the scores of candidate answers extracted from the various documents. Because simply adding scores degrades the performance of question-answering systems, we add scores with decreasing weights to reduce the negative effect of simply adding. We used this method in the CLQA part of NTCIR-5. It was incorporated into a commercially available translation system that carries out cross-language question-answering tasks. Our method obtained relatively good CLQA results. 2009 artículo científico 1870-9044 https://www.redalyc.org/articulo.oa?id=402640453003 en http://www.redalyc.org/revista.oa?id=4026 Polibits application/pdf Instituto Politécnico Nacional Polibits (México) Vol.40
title English-to-Japanese Cross-Language Question-Answering System using Weighted Adding with Multiple Answers
topic Computación
cross
NTCIR
answering
decreased adding
language question
url https://www.redalyc.org/articulo.oa?id=402640453003