Toward Text Understanding: Integrating Relevance-tagged Corpus and Automatically Constructed Case Frames
Daisuke Kawahara, Ryohei Sasano, Sadao Kurohashi · 2004
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.