tailieunhanh - Báo cáo khoa học: "Modeling Adjectives in Computational Relational Lexica"
In this paper we propose a small set of lexical conceptual relations which allow to encode adjectives in computational relational lexica in a principled and integrated way. Our main motivation comes from the fact that adjectives and certain classes of verbs, related in a way or another with adjectives, do not have a satisfactory representation in this kind of lexica. This is due to a great extent to the heterogeneity of their semantic and syntactic properties. We sustain that such properties are mostly derived from the relations holding between adjectives and other POS. . | Modeling Adjectives in Computational Relational Lexica Palmira Marrafa Department of Linguistics Faculty of Arts University of Lisbon and CLG - Group for the Computation of Lexical and Grammatical Knowledge Center of Linguistics - University of Lisbon Avenida Professor Gama Pinto 2 1649-003 Lisbon Portugal Sara Mendes CLG - Group for the Computation of Lexical and Grammatical Knowledge Center of Linguistics - University of Lisbon Avenida Professor Gama Pinto 2 1649-003 Lisbon Portugal Abstract In this paper we propose a small set of lexical conceptual relations which allow to encode adjectives in computational relational lexica in a principled and integrated way. Our main motivation comes from the fact that adjectives and certain classes of verbs related in a way or another with adjectives do not have a satisfactory representation in this kind of lexica. This is due to a great extent to the heterogeneity of their semantic and syntactic properties. We sustain that such properties are mostly derived from the relations holding between adjectives and other POS. Accordingly our proposal is mainly concerned with the specification of appropriate cross-POS relations to encode adjectives in lexica of the type considered here. 1 Introduction As well known the experiment conducted by George Miller on the mental lexicon properties in the early 80s pointed out that lexical meaning is derived from a set of lexical and conceptual relations among concepts. Subsequently a computational lexicon conceived as a semantic network has been built the Princeton WordNet Miller 1990 Fellbaum 1998 . Given its psychological plausibility and its crucial role for applications like machine translation information retrieval and language learning systems among many others this relational lexicon model is being extensively adopted for machine lexical knowledge representations playing a leading role in this field. One of the most salient undertaking .
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