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Serendipitous Wording of POS Tags to Extract Semantic Pairs of Words from Dictionary Definitions.

January 2004

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DBLP

Conference: International Conference on Computational Intelligence, ICCI 2004, December 17-19, 2004, Istanbul, Turkey, Proceedings

Authors:

National Autonomous University of Mexico

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Criterios sintácticos aplicados a un programa recuperador de información

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Jan 2006

Sonia Elisa Morett Alvarez

Una alternativa para expandir las posibilidades de búsqueda dentro de un diccionario onomasiológico electrónico es la consideración de agrupamientos semánticos, esto es, grupos de palabras que en contextos determinados pueden funcionar como sinónimos. Clustering es un programa computacional que genera automáticamente dichos agrupamientos.Bajo la hipótesis de que ciertas deficiencias sistemáticas en la localización de agrupamientos semánticos obedecen a que el sistema (que se basa en la comparación paralela de las cadenas de palabras que componen diferentes definiciones sobre un mismo término) alinea las secuencias palabra por palabra -sin considerar su función dentro de un sintagma; aplicamos un análisis sintáctico funcional a las definiciones de un banco terminológico.Siguiendo la metodología de la lingüística de corpus, a partir de la observación -sustentada en un aparato crítico- de los alineamientos se perfilaron los aspectos que deben considerarse para optimizar el programa: Perífrasis gramaticales, adjetivos, adverbios, sintagmas enfáticos y determinante.

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June 2020 · International Journal of Cooperative Information Systems

Tags, when properly assigned to limited access papers, help users to estimate their relevance. This paper introduces a new approach for the selection of relevant tags as well as a recommendation for scientific papers tagging. The approach defines the relatedness between the tags attributed by users and the concepts extracted from the available sections of scientific papers based on statistical, ... [Show full abstract] structural and semantic aspects. Two different term-based graphs (R1-Graph and R2-Graph) were generated whose vertices indicate the terms and the edges represent the relatedness score between these terms. In addition, two algorithms were implemented to select and recommend the relevant tags: the neighbor-algorithm and the best-path-algorithm. The results of the experiments performed on a CiteULike collection of tagged papers show significant improvements only for the tagging of abstracted scientific articles. The approach was evaluated by referring to the full text of the papers with expert evaluation and comparing the tags generated by CiteULike users. Using the neighbor-algorithm, 80% of the top 10 recommended tags based on R2-Graph and 76% of the top 10 recommended tags based on the R1-Graph were relevant. While only 62% of those recommended by CiteULike users were relevant. The best-path-algorithm gave the best results in the top 20 and top 30 recommended tags and this in comparison with the tags recommended by the neighbor-algorithm and the tags assigned by CiteULike users.

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Recently, user tagging systems have grown in popularity on the web. The tagging process is quite simple for ordinary users, which contributes to its popularity. However, free vocabulary has lack of standardization and semantic ambiguity. It is possible to capture the semantics from user tagging and represent those in a form of ontology, but the application of the learned ontology for ... [Show full abstract] recommendation making has not been that flourishing. In this paper we discuss our approach to learn domain ontology from user tagging information and apply the extracted tag ontology in a pilot tag recommendation experiment. The initial result shows that by using the tag ontology to re-rank the recommended tags, the accuracy of the tag recommendation can be improved.

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The article examines the statements extracted from the Russian National Corpus with such predicatives as pora, vremya, rano, pozdno in combination with the infinitive. These statements combine the semantics of temporal evaluation and state, which is facilitated by the interaction of their lexical and grammatical elements. In the course of the work, it has been found that the predicates of the ... [Show full abstract] temporal evaluation are reflected in the dictionaries inconsistently and fragmentarily, that they have not received sufficient coverage in the scientific literature. As the result of the analysis based on the theory of categorical situations (A. V. Bondarko), the prerequisites for the realization of the values of the state and the temporal evaluation, their combination have been revealed. For the semantics of evaluation, it is important to have a gradation series, a relationship with the norm in the lexical meaning of predicates, the inclusion of an actional infinitive in the construction, two-subjectness (the subject of evaluation / perception and the subject of action), and the difference between modal-temporal plans. For the semantics of the state, signs of static, internal perceptual, uncontrollable, temporal limitedness of the ‘state of affairs’ have been noted, which are transmitted in impersonal-predicative constructions and actualized due to the lexical meaning of time in the words of the category of state. The differences from constructions that convey the semantics of a temporary state and from statements that represent an emotional evaluation have been fixed.

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