Presentation 2005-09-21
Automatic Annotation and its Features of Japanese and English Sentence Types
Yohei SEKI, Noriko KANDO, Masaki AONO,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The purpose of thie study it to testing for using contextual information as a subjective feature, which is not focused on in other related works for annotating subjectivity. Subjectivity usually refers to aspects of language used to express author's or autority's opinions, evaluations, and speculations. Subjectivity analysis was mainly applied to measure the perceptions of Web site reputation, which did not contain complex text structure, but did contain some key extraction patterns. On the other hand, subjectivity analysis on newspaper articles for information analysis in political domains, text structure also performs as a good clue. We evaluated the effectiveness of contextual information with two datasets, which containing English and Japanese newspaper articles with manually annotated opinion information. We found significant improvements for accuracy, precision, and recall for automatic annotation by using contextual information as a feature.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Sentence-type Annotation / Subjectivity Analysis / Context
Paper # NLC2005-28,PRMU2005-55
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Conference Information
Committee NLC
Conference Date 2005/9/14(1days)
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Paper Information
Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Automatic Annotation and its Features of Japanese and English Sentence Types
Sub Title (in English)
Keyword(1) Sentence-type Annotation
Keyword(2) Subjectivity Analysis
Keyword(3) Context
1st Author's Name Yohei SEKI
1st Author's Affiliation Department of Information and Computer Sciences, Toyohashi University of Technology()
2nd Author's Name Noriko KANDO
2nd Author's Affiliation National Institute of Informatics
3rd Author's Name Masaki AONO
3rd Author's Affiliation Department of Information and Computer Sciences, Toyohashi University of Technology
Date 2005-09-21
Paper # NLC2005-28,PRMU2005-55
Volume (vol) vol.105
Number (no) 299
Page pp.pp.-
#Pages 6
Date of Issue