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        <title>Toward Text Understanding: Integrating Relevance-tagged Corpus and Automatically Constructed Case Frames</title>
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        <namePart type="given">Daisuke</namePart>
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    <name type="personal">
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            <title>Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)</title>
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            <namePart type="given">Maria</namePart>
            <namePart type="given">Teresa</namePart>
            <namePart type="family">Lino</namePart>
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            <namePart type="given">Maria</namePart>
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            <namePart type="given">Raquel</namePart>
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    <abstract>This paper proposes a wide-range anaphora resolution system toward text understanding. This system resolves zero, direct and indirect anaphors in Japanese texts by integrating two sorts of linguistic resources: a hand-annotated corpus with various relations and automatically constructed case frames. The corpus has relevance tags which consist of predicate-argument relations, relations between nouns and coreferences, and is utilized for learning parameters of the system and testing it. The case frames are indispensable knowledge both for detecting zero/indirect anaphors and estimating appropriate antecedents. Our preliminary experiments showed promising results.</abstract>
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%0 Conference Proceedings
%T Toward Text Understanding: Integrating Relevance-tagged Corpus and Automatically Constructed Case Frames
%A Kawahara, Daisuke
%A Sasano, Ryohei
%A Kurohashi, Sadao
%Y Lino, Maria Teresa
%Y Xavier, Maria Francisca
%Y Ferreira, Fátima
%Y Costa, Rute
%Y Silva, Raquel
%S Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)
%D 2004
%8 May
%I European Language Resources Association (ELRA)
%C Lisbon, Portugal
%F kawahara-etal-2004-toward
%X This paper proposes a wide-range anaphora resolution system toward text understanding. This system resolves zero, direct and indirect anaphors in Japanese texts by integrating two sorts of linguistic resources: a hand-annotated corpus with various relations and automatically constructed case frames. The corpus has relevance tags which consist of predicate-argument relations, relations between nouns and coreferences, and is utilized for learning parameters of the system and testing it. The case frames are indispensable knowledge both for detecting zero/indirect anaphors and estimating appropriate antecedents. Our preliminary experiments showed promising results.
%U http://www.lrec-conf.org/proceedings/lrec2004/pdf/414.pdf

Markdown (Informal)

[Toward Text Understanding: Integrating Relevance-tagged Corpus and Automatically Constructed Case Frames](http://www.lrec-conf.org/proceedings/lrec2004/pdf/414.pdf) (Kawahara et al., LREC 2004)

• Toward Text Understanding: Integrating Relevance-tagged Corpus and Automatically Constructed Case Frames (Kawahara et al., LREC 2004)

ACL

• Daisuke Kawahara, Ryohei Sasano, and Sadao Kurohashi. 2004. Toward Text Understanding: Integrating Relevance-tagged Corpus and Automatically Constructed Case Frames. In Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04), Lisbon, Portugal. European Language Resources Association (ELRA).