Extraction of Predicate-Argument Structures from Texts (1997)
| Venue: | Proceedings of the 2 nd Conference on Recent Advances in Natural Language Processing—RANLP-97, Tzigov Chark (Bulgaria |
| Citations: | 5 - 3 self |
BibTeX
@INPROCEEDINGS{Delisle97extractionof,
author = {Sylvain Delisle and Stan Szpakowicz},
title = {Extraction of Predicate-Argument Structures from Texts},
booktitle = {Proceedings of the 2 nd Conference on Recent Advances in Natural Language Processing—RANLP-97, Tzigov Chark (Bulgaria},
year = {1997},
pages = {318--323}
}
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Abstract
We consider extraction of predicate-argument structures from a single text with a substantial narrative part. Working with such texts rather than large corpora requires detailed syntactic analyses, a learning mechanism and a cooperating user who confirms automatically generated results. We describe a system with such capabilities. The system has been tested on a variety of texts and has recently undergone an experimental evaluation. User participation appears not onerous at all, and there is a clear learning pattern. 1 Introduction Work on lexicons has arisen as a central issue in Natural Language Processing (NLP). (Wilks et al. 96; Guthrie et al. 96; Saint-Dizier & Viegas 95) give an up-to-date overview. Despite common acceptance of the pivotal role of lexicons, debates continue on the function, contents and organization of life-size lexicons, and the methods of their creation and maintenance. In this paper, we address some of these questions, and offer a few practical so...
