Autores
Viveros Jiménez Francisco
Gelbukh Alexander
Sidorov Grigori
Título Simple Window Selection Strategies for the Simplified Lesk Algorithm for Word Sense Disambiguation
Tipo Congreso
Sub-tipo SCOPUS
Descripción Lecture Notes in Computer Science; 12th Mexican International Conference on Artificial Intelligence, MICAI 2013
Resumen The Simplified Lesk Algorithm (SLA) is frequently used for word sense disambiguation. It disambiguates by calculating the overlap of a set of dictionary definitions (senses) and the context words. The algorithm is simple and fast, but it has relatively low accuracy. We propose simple strategies for the context window selection that improve the performance of the SLA: (1) constructing the window only with words that have an overlap with some sense of the target word, (2) excluding the target word itself from matching, and (3) avoiding repetitions in the context window. This paper describes the corresponding experiments. Comparison with other more complex knowledge-based algorithms is presented.
Observaciones (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Code 102536
Lugar Distrito Federal
País Mexico
No. de páginas 217-227
Vol. / Cap. Vol. 8265 LNAI, Issue PART 1
Inicio 2013-11-24
Fin 2013-11-30
ISBN/ISSN 978-3-642-45114-0