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Authors: Erick Velazquez Godinez ; Zoltán Szlávik ; Edeline Contempré and Robert-Jan Sips

Affiliation: myTomorrows, Anthony Fokkerweg 61 1059CP, Amsterdam, The Netherlands

Keyword(s): Medical Word Sense Disambiguation, Knowledge-based, Semantic Similarity, Word Embeddings, Data Understanding.

Abstract: Word Sense Disambiguation (WSD) is an essential step for any NLP system; it can improve the performance of a more complex task, like information extraction, named entity linking, among others. Consequently, any error, while disambiguating a term, spreads to later stages with a snowball effect. Knowledge-based strategies for WSD offer the advantage of wider coverage of medical terminology than supervised algorithms. In this research, we present a knowledge-based approach for word sense disambiguation that can use different semantic similarity measures to determine the correct sense of a term in a given context. Our experiments show that when our approach used WordNet-based similarity measures, it achieved a very close performance when using the semantic measures based on word embeddings. We also constructed a small dataset from real-world data, where the feedback received from the annotators made us distinguish between true ambiguous terms and vague terms. This distinction needs to be considered for future research for WSD algorithms and dataset construction. Finally, we analyzed a state-of-the-art dataset with linguistic variables that helped to explain our approach’s performance. Our analysis revealed that texts containing a high score of lexical richness and a high ratio of nouns and adjectives lead to better WSD performance. (More)

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Paper citation in several formats:
Godinez, E.; Szlávik, Z.; Contempré, E. and Sips, R. (2021). What do You Mean, Doctor? A Knowledge-based Approach for Word Sense Disambiguation of Medical Terminology. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - HEALTHINF; ISBN 978-989-758-490-9; ISSN 2184-4305, SciTePress, pages 273-280. DOI: 10.5220/0010180502730280

@conference{healthinf21,
author={Erick Velazquez Godinez. and Zoltán Szlávik. and Edeline Contempré. and Robert{-}Jan Sips.},
title={What do You Mean, Doctor? A Knowledge-based Approach for Word Sense Disambiguation of Medical Terminology},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - HEALTHINF},
year={2021},
pages={273-280},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010180502730280},
isbn={978-989-758-490-9},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - HEALTHINF
TI - What do You Mean, Doctor? A Knowledge-based Approach for Word Sense Disambiguation of Medical Terminology
SN - 978-989-758-490-9
IS - 2184-4305
AU - Godinez, E.
AU - Szlávik, Z.
AU - Contempré, E.
AU - Sips, R.
PY - 2021
SP - 273
EP - 280
DO - 10.5220/0010180502730280
PB - SciTePress