Extraction from the Web of Articles Describing Problems, Their Solutions, and Their Causes
Summary :
In this study, we extracted articles describing problems, articles describing their solutions, and articles describing their causes from a Japanese Q&A style Web forum using a supervised machine learning with 0.70, 0.86, and 0.56 F values, respectively. We confirmed that these values are significantly better than their baselines. This extraction will be useful to construct an application that can search for problems provided by users and display causes and potential solutions.
- Publication
- IEICE TRANSACTIONS on Information Vol.E94-D No.3 pp.734-737
- Publication Date
- 2011/03/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E94.D.734
- Type of Manuscript
- LETTER
- Category
- Natural Language Processing
Authors
Keyword
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Masaki MURATA, Hiroki TANJI, Kazuhide YAMAMOTO, Stijn DE SAEGER, Yasunori KAKIZAWA, Kentaro TORISAWA, "Extraction from the Web of Articles Describing Problems, Their Solutions, and Their Causes" in IEICE TRANSACTIONS on Information,
vol. E94-D, no. 3, pp. 734-737, March 2011, doi: 10.1587/transinf.E94.D.734.
Abstract: In this study, we extracted articles describing problems, articles describing their solutions, and articles describing their causes from a Japanese Q&A style Web forum using a supervised machine learning with 0.70, 0.86, and 0.56 F values, respectively. We confirmed that these values are significantly better than their baselines. This extraction will be useful to construct an application that can search for problems provided by users and display causes and potential solutions.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E94.D.734/_p
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@ARTICLE{e94-d_3_734,
author={Masaki MURATA, Hiroki TANJI, Kazuhide YAMAMOTO, Stijn DE SAEGER, Yasunori KAKIZAWA, Kentaro TORISAWA, },
journal={IEICE TRANSACTIONS on Information},
title={Extraction from the Web of Articles Describing Problems, Their Solutions, and Their Causes},
year={2011},
volume={E94-D},
number={3},
pages={734-737},
abstract={In this study, we extracted articles describing problems, articles describing their solutions, and articles describing their causes from a Japanese Q&A style Web forum using a supervised machine learning with 0.70, 0.86, and 0.56 F values, respectively. We confirmed that these values are significantly better than their baselines. This extraction will be useful to construct an application that can search for problems provided by users and display causes and potential solutions.},
keywords={},
doi={10.1587/transinf.E94.D.734},
ISSN={1745-1361},
month={March},}
Copy
TY - JOUR
TI - Extraction from the Web of Articles Describing Problems, Their Solutions, and Their Causes
T2 - IEICE TRANSACTIONS on Information
SP - 734
EP - 737
AU - Masaki MURATA
AU - Hiroki TANJI
AU - Kazuhide YAMAMOTO
AU - Stijn DE SAEGER
AU - Yasunori KAKIZAWA
AU - Kentaro TORISAWA
PY - 2011
DO - 10.1587/transinf.E94.D.734
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E94-D
IS - 3
JA - IEICE TRANSACTIONS on Information
Y1 - March 2011
AB - In this study, we extracted articles describing problems, articles describing their solutions, and articles describing their causes from a Japanese Q&A style Web forum using a supervised machine learning with 0.70, 0.86, and 0.56 F values, respectively. We confirmed that these values are significantly better than their baselines. This extraction will be useful to construct an application that can search for problems provided by users and display causes and potential solutions.
ER -
English
