Abualhaija, Sallam ; Miller, Tristan ; Eckle-Kohler, Judith ; Gurevych, Iryna ; Zimmermann, Karl-Heinz (2017)
Metaheuristic Approaches to Lexical Substitution and Simplification.
Valencia, Spain
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
In this paper, we propose using metaheuristics---in particular, simulated annealing and the new D-Bees algorithm---to solve word sense disambiguation as an optimization problem within a knowledge-based lexical substitution system. We are the first to perform such an extrinsic evaluation of metaheuristics, for which we use two standard lexical substitution datasets, one English and one German. We find that D-Bees has robust performance for both languages, and performs better than simulated annealing, though both achieve good results. Moreover, the D-Bees--based lexical substitution system outperforms state-of-the-art systems on several evaluation metrics. We also show that D-Bees achieves competitive performance in lexical simplification, a variant of lexical substitution.
Typ des Eintrags: | Konferenzveröffentlichung |
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Erschienen: | 2017 |
Autor(en): | Abualhaija, Sallam ; Miller, Tristan ; Eckle-Kohler, Judith ; Gurevych, Iryna ; Zimmermann, Karl-Heinz |
Art des Eintrags: | Bibliographie |
Titel: | Metaheuristic Approaches to Lexical Substitution and Simplification |
Sprache: | Englisch |
Publikationsjahr: | April 2017 |
Verlag: | Association for Computational Linguistics |
Buchtitel: | Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2017) |
Band einer Reihe: | 1 |
Veranstaltungsort: | Valencia, Spain |
URL / URN: | http://aclweb.org/anthology/E/E17/E17-1082.pdf |
Kurzbeschreibung (Abstract): | In this paper, we propose using metaheuristics---in particular, simulated annealing and the new D-Bees algorithm---to solve word sense disambiguation as an optimization problem within a knowledge-based lexical substitution system. We are the first to perform such an extrinsic evaluation of metaheuristics, for which we use two standard lexical substitution datasets, one English and one German. We find that D-Bees has robust performance for both languages, and performs better than simulated annealing, though both achieve good results. Moreover, the D-Bees--based lexical substitution system outperforms state-of-the-art systems on several evaluation metrics. We also show that D-Bees achieves competitive performance in lexical simplification, a variant of lexical substitution. |
Freie Schlagworte: | UKP_reviewed;reviewed |
ID-Nummer: | TUD-CS-2017-0009 |
Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung DFG-Graduiertenkollegs DFG-Graduiertenkollegs > Graduiertenkolleg 1994 Adaptive Informationsaufbereitung aus heterogenen Quellen |
Hinterlegungsdatum: | 31 Dez 2016 14:29 |
Letzte Änderung: | 24 Jan 2020 12:03 |
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