Definite Descriptions in an Information Extraction Systems

Authors:
Manuel Palomar;Rafael Muñoz
Affiliations:
-;-
Venue:
IBERAMIA-SBIA '00 Proceedings of the International Joint Conference, 7th Ibero-American Conference on AI: Advances in Artificial Intelligence
Year:
2000

Citing 3
Cited 0

Thinking; Readings in Cognitive Science

Thinking; Readings in Cognitive Science
Processing of Spanish Definite Descriptions

MICAI '00 Proceedings of the Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
A corpus-based investigation of definite description use

Computational Linguistics

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Abstract

This paper presents an algorithm based on heuristic rules in order to solve Spanish definite description references. This algorithm is applied to an information extraction system for Spanish language. These heuristic rules are extracted from the study of an unrestricted corpus. This algorithm solves identity co-reference produced by a definite description whose relation with its antecedents can be solved with syntactic or semantic information. This module achieves a precision of 95.3% in classification task (anaphoric or non-anaphoric) and a average precision of 78%.