Recent Trends in Word Sense Disambiguation: A Survey
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Survey Track. Pages 4330-4338.
https://doi.org/10.24963/ijcai.2021/593
Keywords
- Natural language processing: General
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.
@inproceedings{ijcai2021p593,
title = {Recent Trends in Word Sense Disambiguation: A Survey},
author = {Bevilacqua, Michele and Pasini, Tommaso and Raganato, Alessandro and Navigli, Roberto},
booktitle = {Proceedings of the Thirtieth International Joint Conference on
Artificial Intelligence, {IJCAI-21}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Prof. Zhi-Hua Zhou},
pages = {4330--4338},
year = {2021},
month = {8},
note = {Survey Track},
doi = {10.24963/ijcai.2021/593},
url = {https://doi.org/10.24963/ijcai.2021/593},
}
TY - CPAPER TI - Recent Trends in Word Sense Disambiguation: A Survey AU - Bevilacqua, Michele AU - Pasini, Tommaso AU - Raganato, Alessandro AU - Navigli, Roberto T2 - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2021 SP - 4330 EP - 4338 DO - 10.24963/ijcai.2021/593 UR - https://doi.org/10.24963/ijcai.2021/593 ER -Copied
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