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Assessing multiple word embeddings for named entity recognition of professions and occupations in health-related social media

Social Media Mining for Health, SMM4H 2021 - Proceedings of the 6th Workshop and Shared Tasks (2021) 128-130
DOI: 10.18653/v1/2021.smm4h-1.27
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Abstract

This paper presents our contribution to the ProfNER shared task. Our work focused on evaluating different pre-trained word embedding representations suitable for the task. We further explored combinations of embeddings in order to improve the overall results.

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APA

Păis, V., & Mitrofan, M. (2021). Assessing multiple word embeddings for named entity recognition of professions and occupations in health-related social media. In Social Media Mining for Health, SMM4H 2021 - Proceedings of the 6th Workshop and Shared Tasks (pp. 128–130). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2021.smm4h-1.27

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