Xabier Arregi

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This paper deals with the exploitation of dictionaries for the semi-automatic construction of lexicons and lexical knowledge bases. The final goal of our research is to enrich the Basque Lexical Database with semantic information such as senses, definitions, semantic relations, etc., extracted from a Basque monolingual dictionary. The work here presented(More)
The application of the formalism of two-level morphology to Basque and its use in the e laborat ion of the X U X E N s p e l l i n g checker/corrector are described. This application is intended to cover a large part of the language. Because Basque is a highly inflected language, the approach of spelling checking and correction has been conceived as a(More)
IDItS (Intelligent Dictionary l ielp System) is conceived as a monolingual (explanatory) dictionary system for hum,'m use (Artola & Evrard, 92). The fact that it is intended for people instead of automatic processing distiuguishes it from other systems dealing with semantic knowledge acquisi t ion from conventional dictiouaries, ql~e system provides various(More)
This paper presents the adaptation of the Stanford coreference resolution system to Basque, an agglutinative head-final pro-drop language. The adapted system has been integrated into a global linguistic analysis pipeline so that the input of the system are original Basque raw texts linguistically processed, and annotated. We demonstrate that(More)
This paper presents the adaptation of the Stanford coreference resolution system to Basque, an agglutinative head-final pro-drop language. The adapted system has been integrated into a global linguistic analysis pipeline so that the input of the system are original Basque raw texts linguistically processed, and annotated. We demonstrate that(More)
Traditional information retrieval (IR) systems use keywords to index and retrieve documents. The limitations of keywords were recognized since the early days, specially when different but closely related words are used in the query and the relevant document. Query expansion techniques like pseudo-relevance feedback (PRF) and document clustering techniques(More)