Paper: Full Text Parsing Using Cascades Of Rules: An Information Extraction Perspective

ACL ID E99-1014
Title Full Text Parsing Using Cascades Of Rules: An Information Extraction Perspective
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 1999
Authors

This paper proposes an approach to full parsing suitable for Information Extrac- tion from texts. Sequences of cascades of rules deterministically analyze the text, building unambiguous structures. Ini- tially basic chunks are analyzed; then ar- gumental relations are recognized; finally modifier attachment is performed and the global parse tree is built. The ap- proach was proven to work for three lan- guages and different domains. It was im- plemented in the IE module of FACILE, a EU project for multilingual text classi- fication and !E.