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
- Editors:
- Graciela Gonzalez-Hernandez, Davy Weissenbacher
- Venue:
- SMM4H
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 190–196
- Language:
- URL:
- https://aclanthology.org/2022.smm4h-1.49
- DOI:
- 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)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/2022.smm4h-1.49.pdf