An algorithm for pronominal anaphora resolution
Computational Linguistics
Thinking; Readings in Cognitive Science
Thinking; Readings in Cognitive Science
Quantifiers, Anaphora, and Intensionality
Journal of Logic, Language and Information
Proceedings of the Second International Conference on Natural Language Processing
NLP '00 Proceedings of the Second International Conference on Natural Language Processing
Processing of Spanish Definite Descriptions
MICAI '00 Proceedings of the Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Word Sense Disambiguation with Specification Marks in Unrestricted Texts
DEXA '00 Proceedings of the 11th International Workshop on Database and Expert Systems Applications
An algorithm for anaphora resolution in Spanish texts
Computational Linguistics - Special issue on computational anaphora resolution
Resolving discourse deictic anaphora in dialogues
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Evaluating a focus-based approach to anaphora resolution
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
The Role of WSD for Multilingual Natural Language Applications
TSD '02 Proceedings of the 5th International Conference on Text, Speech and Dialogue
Combining Supervised-Unsupervised Methods for Word Sense Disambiguation
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
Interface for WordNet Enrichment with Classification Systems
DEXA '01 Proceedings of the 12th International Conference on Database and Expert Systems Applications
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In this paper we present a whole Natural Language Processing (NLP) system for Spanish. The core of this system is the parser, which uses the grammatical formalism Lexical-Functional Grammars (LFG). The system uses the Specification Marks Method in order to resolve the lexical ambiguity. Another important component of this system is the anaphora resolution module. To solve the anaphora, this module contains a method based on linguistic information (lexical, morphological, syntactic and semantic), structural information (anaphoric accessibility space in which the anaphor obtains the antecedent) and statistical information. This method is based on constraints and preferences and solves pronouns and definite descriptions. Moreover, this system fits dialogue and non-dialogue discourse features. The anaphora resolution module uses several resources, such as a lexical database (Spanish WordNet) to provide semantic information and a POS tagger providing the part of speech for each word and its root to make this resolution process easier.