Abstract
This paper describes a text understanding system for conversational agents. The 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 utilised 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.
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© 2005 Springer-Verlag Berlin Heidelberg
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Kawahara, D., Sasano, R., Kurohashi, S. (2005). Text Understanding for Conversational Agent. In: Bolc, L., Michalewicz, Z., Nishida, T. (eds) Intelligent Media Technology for Communicative Intelligence. IMTCI 2004. Lecture Notes in Computer Science(), vol 3490. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558637_2
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DOI: https://doi.org/10.1007/11558637_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29035-3
Online ISBN: 978-3-540-31738-8
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