Word Sense Disambiguation (WSD) aims at making explicit the semantics of a word in context by identifying the most suitable meaning from a predefined sense inventory. Recent breakthroughs in representation learning have fueled intensive WSD research, resulting in considerable performance improvements, breaching the 80% glass ceiling set by the inter-annotator agreement. In this survey, we provide an extensive overview of current advances in WSD, describing the state of the art in terms of i) resources for the task, i.e., sense inventories and reference datasets for training and testing, as well as ii) automatic disambiguation approaches, detailing their peculiarities, strengths and weaknesses. Finally, we highlight the current limitations of the task itself, but also point out recent trends that could help expand the scope and applicability of WSD, setting up new promising directions for the future.

Bevilacqua, M., Pasini, T., Raganato, A., Navigli, R. (2021). Recent Trends in Word Sense Disambiguation: A Survey. In Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI-21) Survey Track. (pp.4330-4338). International Joint Conferences on Artificial Intelligence [10.24963/ijcai.2021/593].

Recent Trends in Word Sense Disambiguation: A Survey

Raganato, A
;
2021

Abstract

Word Sense Disambiguation (WSD) aims at making explicit the semantics of a word in context by identifying the most suitable meaning from a predefined sense inventory. Recent breakthroughs in representation learning have fueled intensive WSD research, resulting in considerable performance improvements, breaching the 80% glass ceiling set by the inter-annotator agreement. In this survey, we provide an extensive overview of current advances in WSD, describing the state of the art in terms of i) resources for the task, i.e., sense inventories and reference datasets for training and testing, as well as ii) automatic disambiguation approaches, detailing their peculiarities, strengths and weaknesses. Finally, we highlight the current limitations of the task itself, but also point out recent trends that could help expand the scope and applicability of WSD, setting up new promising directions for the future.
No
paper
Natural language processing; Word Sense Disambiguation; Survey
English
30th International Joint Conference on Artificial Intelligence (IJCAI-21) 19 August 2021 through 27 August 2021
978-0-9992411-9-6
Bevilacqua, M., Pasini, T., Raganato, A., Navigli, R. (2021). Recent Trends in Word Sense Disambiguation: A Survey. In Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI-21) Survey Track. (pp.4330-4338). International Joint Conferences on Artificial Intelligence [10.24963/ijcai.2021/593].
Bevilacqua, M; Pasini, T; Raganato, A; Navigli, R
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/361595
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