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Labeling Chinese Predicates with Semantic Roles.

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Title: Labeling Chinese Predicates with Semantic Roles.
Authors: Nianwen Xue1 Nianwen.Xue@colorado.edu
Source: Computational Linguistics. Jun2008, Vol. 34 Issue 2, p225-255. 31p. 7 Diagrams, 3 Charts.
Subjects: Verbs, Chinese character sets (Data processing), Semantic differential technique, Comparative semantics, Predicate (Logic), Parsing (Computer grammar), Mathematical logic
Abstract: In this article we report work on Chinese semantic role labeling, taking advantage of two recently completed corpora, the Chinese PropBank, a semantically annotated corpus of Chinese verbs, and the Chinese Nombank, a companion corpus that annotates the predicate-argument structure of nominalized predicates. Because the semantic role labels are assigned to the constituents in a parse tree, we first report experiments in which semantic role labels are automatically assigned to hand-crafted parses in the Chinese Treebank. This gives us a measure of the extent to which semantic role labels can be bootstrapped from the syntactic annotation provided in the treebank. We then report experiments using automatic parses with decreasing levels of human annotation in the input to the syntactic parser: parses that use gold-standard segmentation and POS-tagging, parses that use only gold-standard segmentation, and fully automatic parses. These experiments gauge how successful semantic role labeling for Chinese can be in more realistic situations. Our results show that when hand-crafted parses are used, semantic role labeling accuracy for Chinese is comparable to what has been reported for the state-of-the-art English semantic role labeling systems trained and tested on the English PropBank, even though the Chinese PropBank is significantly smaller in size. When an automatic parser is used, however, the accuracy of our system is significantly lower than the English state of the art. This indicates that an improvement in Chinese parsing is critical to high-performance semantic role labeling for Chinese. [ABSTRACT FROM AUTHOR]
Copyright of Computational Linguistics is the property of MIT Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Labeling Chinese Predicates with Semantic Roles.
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  Data: <searchLink fieldCode="DE" term="%22Verbs%22">Verbs</searchLink><br /><searchLink fieldCode="DE" term="%22Chinese+character+sets+%28Data+processing%29%22">Chinese character sets (Data processing)</searchLink><br /><searchLink fieldCode="DE" term="%22Semantic+differential+technique%22">Semantic differential technique</searchLink><br /><searchLink fieldCode="DE" term="%22Comparative+semantics%22">Comparative semantics</searchLink><br /><searchLink fieldCode="DE" term="%22Predicate+%28Logic%29%22">Predicate (Logic)</searchLink><br /><searchLink fieldCode="DE" term="%22Parsing+%28Computer+grammar%29%22">Parsing (Computer grammar)</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+logic%22">Mathematical logic</searchLink>
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  Data: In this article we report work on Chinese semantic role labeling, taking advantage of two recently completed corpora, the Chinese PropBank, a semantically annotated corpus of Chinese verbs, and the Chinese Nombank, a companion corpus that annotates the predicate-argument structure of nominalized predicates. Because the semantic role labels are assigned to the constituents in a parse tree, we first report experiments in which semantic role labels are automatically assigned to hand-crafted parses in the Chinese Treebank. This gives us a measure of the extent to which semantic role labels can be bootstrapped from the syntactic annotation provided in the treebank. We then report experiments using automatic parses with decreasing levels of human annotation in the input to the syntactic parser: parses that use gold-standard segmentation and POS-tagging, parses that use only gold-standard segmentation, and fully automatic parses. These experiments gauge how successful semantic role labeling for Chinese can be in more realistic situations. Our results show that when hand-crafted parses are used, semantic role labeling accuracy for Chinese is comparable to what has been reported for the state-of-the-art English semantic role labeling systems trained and tested on the English PropBank, even though the Chinese PropBank is significantly smaller in size. When an automatic parser is used, however, the accuracy of our system is significantly lower than the English state of the art. This indicates that an improvement in Chinese parsing is critical to high-performance semantic role labeling for Chinese. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Computational Linguistics is the property of MIT Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1162/coli.2008.34.2.225
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      – Code: eng
        Text: English
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        PageCount: 31
        StartPage: 225
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      – SubjectFull: Verbs
        Type: general
      – SubjectFull: Chinese character sets (Data processing)
        Type: general
      – SubjectFull: Semantic differential technique
        Type: general
      – SubjectFull: Comparative semantics
        Type: general
      – SubjectFull: Predicate (Logic)
        Type: general
      – SubjectFull: Parsing (Computer grammar)
        Type: general
      – SubjectFull: Mathematical logic
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      – TitleFull: Labeling Chinese Predicates with Semantic Roles.
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            – D: 01
              M: 06
              Text: Jun2008
              Type: published
              Y: 2008
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              Value: 34
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