Presentation | 2007/7/17 Evaluation Data and Prototype System WISDOM for Information Credibility Analysis Hisashi MIYAMORI, Susumu AKAMINE, Yoshikiyo KATO, Ken KANEIWA, Kaoru SUMI, Kentaro INUI, Sadao KUROHASHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Evaluation data and a prototype system named WISDOM used for analyzing information credibility based on natural language processing are described. Our group started the Information Credibility Criteria project in April, 2006, mainly to analyze the credibility of information (text) on the Web. The project proposes to capture information credibility based on four criteria (content, sender, appearance, and social valuation) and aims to analyze and organize them logically using natural language processing based on predicate argument structure. The evaluation data were developed as learning and verifying data for these various analysis modules, and were composed of manually-annotated data based on each evaluation criteria about pre-selected 20 topics such as current events and medical issues with 100 pages per topic being collected from the Web. The prototype system WISDOM was developed to provide information credibility from different perspectives. Users will be able to find credible information more reliably by browsing information using different evaluation criteria and conditions provided by the system. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Web / information credibility / information analysis / natural language processing / predicate argument structure / credibilitv criteria |
Paper # | NLC2007-18 |
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Committee | NLC |
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Conference Date | 2007/7/17(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Natural Language Understanding and Models of Communication (NLC) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Evaluation Data and Prototype System WISDOM for Information Credibility Analysis |
Sub Title (in English) | |
Keyword(1) | Web |
Keyword(2) | information credibility |
Keyword(3) | information analysis |
Keyword(4) | natural language processing |
Keyword(5) | predicate argument structure |
Keyword(6) | credibilitv criteria |
1st Author's Name | Hisashi MIYAMORI |
1st Author's Affiliation | Knowledge Clustered Group, NICT() |
2nd Author's Name | Susumu AKAMINE |
2nd Author's Affiliation | Knowledge Clustered Group, NICT |
3rd Author's Name | Yoshikiyo KATO |
3rd Author's Affiliation | Knowledge Clustered Group, NICT |
4th Author's Name | Ken KANEIWA |
4th Author's Affiliation | Knowledge Clustered Group, NICT |
5th Author's Name | Kaoru SUMI |
5th Author's Affiliation | Knowledge Clustered Group, NICT |
6th Author's Name | Kentaro INUI |
6th Author's Affiliation | Knowledge Clustered Group, NICT:Graduate School of Information Science, Nara Institute of Science and Technology |
7th Author's Name | Sadao KUROHASHI |
7th Author's Affiliation | Knowledge Clustered Group, NICT:Graduate School of Informatics, Kyoto University |
Date | 2007/7/17 |
Paper # | NLC2007-18 |
Volume (vol) | vol.107 |
Number (no) | 158 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |