Assessing multiple word embeddings for named entity recognition of professions and occupations in health-related social media
published by Association for Computation Linguistics
in 2021
in Artificial Intelligence
and research's language is
English
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Abstract in English
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.