Romanian micro-blogging named entity recognition including health-related entities

Vasile Pais, Verginica Barbu Mititelu, Elena Irimia, Maria Mitrofan, Carol Luca Gasan, Roxana Micu


Abstract
This paper introduces a manually annotated dataset for named entity recognition (NER) in micro-blogging text for Romanian language. It contains gold annotations for 9 entity classes and expressions: persons, locations, organizations, time expressions, legal references, disorders, chemicals, medical devices and anatomical parts. Furthermore, word embeddings models computed on a larger micro-blogging corpus are made available. Finally, several NER models are trained and their performance is evaluated against the newly introduced corpus.
Anthology ID:
2022.smm4h-1.49
Volume:
Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task
Month:
October
Year:
2022
Address:
Gyeongju, Republic of Korea
Venue:
SMM4H
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
190–196
Language:
URL:
https://aclanthology.org/2022.smm4h-1.49
DOI:
Bibkey:
Cite (ACL):
Vasile Pais, Verginica Barbu Mititelu, Elena Irimia, Maria Mitrofan, Carol Luca Gasan, and Roxana Micu. 2022. Romanian micro-blogging named entity recognition including health-related entities. In Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task, pages 190–196, Gyeongju, Republic of Korea. Association for Computational Linguistics.
Cite (Informal):
Romanian micro-blogging named entity recognition including health-related entities (Pais et al., SMM4H 2022)
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PDF:
https://aclanthology.org/2022.smm4h-1.49.pdf