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.- Anthology ID:
- L04-1242
- Volume:
- Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)
- Month:
- May
- Year:
- 2004
- Address:
- Lisbon, Portugal
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- Language:
- URL:
- http://www.lrec-conf.org/proceedings/lrec2004/pdf/414.pdf
- DOI:
- Cite (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).
- Cite (Informal):
- Toward Text Understanding: Integrating Relevance-tagged Corpus and Automatically Constructed Case Frames (Kawahara et al., LREC 2004)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2004/pdf/414.pdf