An algorithm for pronominal anaphora resolution
Computational Linguistics
Processing of Spanish Definite Descriptions
MICAI '00 Proceedings of the Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Interface for WordNet Enrichment with Classification Systems
DEXA '01 Proceedings of the 12th International Conference on Database and Expert Systems Applications
Word Sense Disambiguation with Specification Marks in Unrestricted Texts
DEXA '00 Proceedings of the 11th International Workshop on Database and Expert Systems Applications
An empirically based system for processing definite descriptions
Computational Linguistics
An algorithm for anaphora resolution in Spanish texts
Computational Linguistics - Special issue on computational anaphora resolution
Robust pronoun resolution with limited knowledge
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Word sense disambiguation using optimised combinations of knowledge sources
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Recognizing referential links: an information extraction perspective
ANARESOLUTION '97 Proceedings of a Workshop on Operational Factors in Practical, Robust Anaphora Resolution for Unrestricted Texts
Experiments in word domain disambiguation for parallel texts
WorkSense '00 Proceedings of the ACL-2000 Workshop on Word Senses and Multi-Linguality
Anaphora resolution: to what extent does it help nlp applications?
DAARC'07 Proceedings of the 6th discourse anaphora and anaphor resolution conference on Anaphora: analysis, algorithms and applications
Malay anaphor and antecedent candidate identification: a proposed solution
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part III
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Building a NLP system requires the adding of linguistic phenomena resolution. One of the most relevant tasks regarding to these phenomena is the coreference resolution. Coreference is defined as a semantic phenomenon and, therefore, apart from the morphological and syntactic information that is highly useful, adding semantic sources improves the capabilities of such a NLP system. In this paper, a complete NLP system is proposed. This system counts on a WSD module that provide semantic information needed for the coreference resolution. This coreference resolution will deal with both pronouns and definite descriptions (DD), two of the most important parts of the anaphora resolution research area. The WSD module is a variant of the Specification Marks Method [7] where for each word in a text a domain label is selected instead of a sense label.