article

A comparative study between possibilistic and probabilistic approaches for monolingual word sense disambiguation

Authors:

Ibrahim Bounhas,

Oussama Ben Khiroun,

Fabrice Evrard,

Narjès Bellamine Ben SaoudAuthors Info & Claims

Knowledge and Information Systems, Volume 44, Issue 1

Pages 91 - 126

https://doi.org/10.1007/s10115-014-0753-z

Published: 01 July 2015 Publication History

Abstract

This paper proposes and assesses a new possibilistic approach for automatic monolingual word sense disambiguation (WSD). In fact, in spite of their advantages, the traditional dictionaries suffer from the lack of accurate information useful for WSD. Moreover, there exists a lack of high-coverage semantically labeled corpora on which methods of learning could be trained. For these multiple reasons, it became important to use a semantic dictionary of contexts (SDC) ensuring the machine learning in a semantic platform of WSD. Our approach combines traditional dictionaries and labeled corpora to build a SDC and identify the sense of a word by using a possibilistic matching model. Besides, we present and evaluate a second new probabilistic approach for automatic monolingual WSD. This approach uses and extends an existing probabilistic semantic distance to compute similarities between words by exploiting a semantic graph of a traditional dictionary and the SDC. To assess and compare these two approaches, we performed experiments on the standard ROMANSEVAL test collection and we compared our results to some existing French monolingual WSD systems. Experiments showed an encouraging improvement in terms of disambiguation rates of French words. These results reveal the contribution of possibility theory as a mean to treat imprecision in information systems.

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(2019)A hybrid possibilistic approach for Arabic full morphological disambiguationData & Knowledge Engineering10.1016/j.datak.2015.06.008100:PB(240-254)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.1016/j.datak.2015.06.008
Elayeb B(2019)Arabic word sense disambiguation: a reviewArtificial Intelligence Review10.1007/s10462-018-9622-652:4(2475-2532)Online publication date: 1-Dec-2019
https://dl.acm.org/doi/10.1007/s10462-018-9622-6
Aklouche BBounhas ISlimani Y(2019)BM25 Beyond Query-Document SimilarityString Processing and Information Retrieval10.1007/978-3-030-32686-9_5(65-79)Online publication date: 7-Oct-2019
https://dl.acm.org/doi/10.1007/978-3-030-32686-9_5
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A comparative study between possibilistic and probabilistic approaches for monolingual word sense disambiguation
1. Computing methodologies
  1. Artificial intelligence
2. Hardware
  1. Power and energy
    1. Power estimation and optimization

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cover image Knowledge and Information Systems

Knowledge and Information Systems Volume 44, Issue 1

July 2015

247 pages

ISSN:0219-1377

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Copyright © Copyright © 2015 Springer-Verlag London.

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Springer-Verlag

Berlin, Heidelberg

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Published: 01 July 2015

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Cited By

(2019)A hybrid possibilistic approach for Arabic full morphological disambiguationData & Knowledge Engineering10.1016/j.datak.2015.06.008100:PB(240-254)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.1016/j.datak.2015.06.008
Elayeb B(2019)Arabic word sense disambiguation: a reviewArtificial Intelligence Review10.1007/s10462-018-9622-652:4(2475-2532)Online publication date: 1-Dec-2019
https://dl.acm.org/doi/10.1007/s10462-018-9622-6
Aklouche BBounhas ISlimani Y(2019)BM25 Beyond Query-Document SimilarityString Processing and Information Retrieval10.1007/978-3-030-32686-9_5(65-79)Online publication date: 7-Oct-2019
https://dl.acm.org/doi/10.1007/978-3-030-32686-9_5
Elayeb BRomdhane WSaoud N(2018)Towards a new possibilistic query translation tool for cross-language information retrievalMultimedia Tools and Applications10.1007/s11042-017-4398-277:2(2423-2465)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1007/s11042-017-4398-2
Elayeb BBounhas I(2016)Arabic Cross-Language Information RetrievalACM Transactions on Asian and Low-Resource Language Information Processing10.1145/278921015:3(1-44)Online publication date: 28-Jan-2016
https://dl.acm.org/doi/10.1145/2789210
Bounhas IElayeb BEvrard FSlimani Y(2015)Information Reliability EvaluationJournal on Computing and Cultural Heritage 10.1145/26938478:3(1-33)Online publication date: 13-Apr-2015
https://dl.acm.org/doi/10.1145/2693847
Elayeb BBounhas IKhiroun OSaoud N(2014)Combining Semantic Query Disambiguation and Expansion to Improve Intelligent Information RetrievalRevised Selected Papers of the 6th International Conference on Agents and Artificial Intelligence - Volume 894610.1007/978-3-319-25210-0_17(280-295)Online publication date: 6-Mar-2014
https://dl.acm.org/doi/10.1007/978-3-319-25210-0_17

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