@inproceedings{pais-mitrofan-2021-assessing,
title = "Assessing multiple word embeddings for named entity recognition of professions and occupations in health-related social media",
author = "Pais, Vasile and
Mitrofan, Maria",
booktitle = "Proceedings of the Sixth Social Media Mining for Health ({\#}SMM4H) Workshop and Shared Task",
month = jun,
year = "2021",
address = "Mexico City, Mexico",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.smm4h-1.27",
doi = "10.18653/v1/2021.smm4h-1.27",
pages = "128--130",
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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%0 Conference Proceedings
%T Assessing multiple word embeddings for named entity recognition of professions and occupations in health-related social media
%A Pais, Vasile
%A Mitrofan, Maria
%S Proceedings of the Sixth Social Media Mining for Health (#SMM4H) Workshop and Shared Task
%D 2021
%8 jun
%I Association for Computational Linguistics
%C Mexico City, Mexico
%F pais-mitrofan-2021-assessing
%X 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.
%R 10.18653/v1/2021.smm4h-1.27
%U https://aclanthology.org/2021.smm4h-1.27
%U https://doi.org/10.18653/v1/2021.smm4h-1.27
%P 128-130
Markdown (Informal)
[Assessing multiple word embeddings for named entity recognition of professions and occupations in health-related social media](https://aclanthology.org/2021.smm4h-1.27) (Pais & Mitrofan, SMM4H 2021)
ACL