Detection of Quotations and Inserted Clauses and its Application to Dependency Structure Analysis in Spontaneous Japanese
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- Hamabe Ryoji
- School of Informatics, Kyoto University
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- Uchimoto Kiyotaka
- National Institute of Information and Communications Technology
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- Kawahara Tatsuya
- School of Informatics, Kyoto University
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- Isahara Hitoshi
- National Institute of Information and Communications Technology
Bibliographic Information
- Other Title
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- 話し言葉における引用節・挿入節の自動認定および係り受け解析への応用
- ハナシコトバ ニ オケル インヨウセツ ソウニュウセツ ノ ジドウ ニンテイ オヨビ カカリウケ カイセキ エノ オウヨウ
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Abstract
Japanese dependency structure is usually represented by relationships between phrasal units called bunsetsus. One of the biggest problems with dependency structure analysis in spontaneous speech is that clause boundaries are ambiguous. This paper describes a method for detecting the boundaries of quotations and inserted clauses and that for improving the dependency accuracy by applying the detected boundaries to dependency structure analysis. The quotations and inserted clauses are determined by using an SVM-based text chunking method that considers information on morphemes, pauses, etc. The information on automatically analyzed dependency structure is also used to detect the beginning of the clauses. Our evaluation experiment using Corpus of Spontaneous Japanese (CSJ) showed that the automatically estimated boundaries of quotations and inserted clauses helped to improve the accuracy of dependency structure analysis from 77.7% to 78.7% .
Journal
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- Journal of Natural Language Processing
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Journal of Natural Language Processing 16 (1), 3-23, 2009
The Association for Natural Language Processing
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Keywords
Details 詳細情報について
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- CRID
- 1390001204474998784
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- NII Article ID
- 10024758516
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- NII Book ID
- AN10472659
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- ISSN
- 21858314
- 13407619
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- NDL BIB ID
- 10159932
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed