University of Oulu

A fuzzy based approach for wordsense disambiguation using morphological transformation and domain link knowledge, F. Farooghian (), M. Oussalah (), and E. Gilian (), Data Science and Knowledge Engineering for Sensing Decision Support. October 2018, 617-625, https://doi.org/10.1142/9789813273238_0079

A fuzzy based approach for wordsense disambiguation using morphological transformation and domain link knowledge

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Author: Farooghian, F.1; Oussalah, M.2; Gilian, E.2
Organizations: 1iHR, Aston University, B4 7ET, Birmingham, UNITED KINGDOM
2Centre for Ubiquitous Computing, Faculty of Information Technology and Electrical Engineering, University of Oulu. OULU, 90014- FINLAND
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.4 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2020042119543
Language: English
Published: World Scientific, 2018
Publish Date: 2020-04-21
Description:

Abstract

This paper describes a fuzzy-based methodology in order to aggregate outcomes of distinct wordsense disambiguation algorithms. The latter are derived from standard Lesk algorithm, its WorldNet extension and new interpretations of the set-intersection that accounts for various WordNet domain knowledge and part-of-speech conversion. The fuzzy preference model imitates the fuzzy Borda voting scheme. The developed algorithms are evaluated according to SenseEval 2 competition dataset, where a clear improvement to the baseline algorithm has been testified.

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Series: World Scientific proceedings series on computer engingeering and information science
ISSN: 1793-7868
ISSN-L: 1793-7868
ISBN Print: 978-981-3273-22-1
Pages: 617 - 625
DOI: 10.1142/9789813273238_0079
OADOI: https://oadoi.org/10.1142/9789813273238_0079
Host publication: Data Science and Knowledge Engineering for Sensing Decision Support. Proceedings of the 13th International FLINS Conference (FLINS 2018)
Host publication editor: Liu, Jun
Lu, Jie
Xu, Yang
Martinez, Luis
Kerre, Etienne E.
Conference: International Conference on Data Science and Knowledge Engineering for Sensing Decision Support
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Subjects:
Funding: This work is (partially) funded by the Marie Skłodowska-Curie Actions (645706-GRAGE).
Copyright information: Electronic version of an article published as A fuzzy based approach for wordsense disambiguation using morphological transformation and domain link knowledge, F. Farooghian (), M. Oussalah (), and E. Gilian (), Data Science and Knowledge Engineering for Sensing Decision Support. October 2018, 617-625, https://doi.org/10.1142/9789813273238_0079 © World Scientific Publishing Co Pte Ltd. 2018.