Semantic Parsing based on Verbal Subcategorization
计算与语言
2007-05-23 v1 人工智能
摘要
The aim of this work is to explore new methodologies on Semantic Parsing for unrestricted texts. Our approach follows the current trends in Information Extraction (IE) and is based on the application of a verbal subcategorization lexicon (LEXPIR) by means of complex pattern recognition techniques. LEXPIR is framed on the theoretical model of the verbal subcategorization developed in the Pirapides project.
引用
@article{arxiv.cs/0006042,
title = {Semantic Parsing based on Verbal Subcategorization},
author = {Jordi Atserias and Irene Castellon and Montse Civit and German Rigau},
journal= {arXiv preprint arXiv:cs/0006042},
year = {2007}
}
备注
12 pages, extended version of the paper. Spanish version of the paper also available from authors home page