Abstract
We present a large Norwegian lexical resource of categorized medical terms. The resource, which merges information from large medical databases, contains over 56,000 entries, including automatically mapped terms from a Norwegian medical dictionary. We describe the methodology behind this automatic dictionary entry mapping based on keywords and suffixes and further present the results of a manual evaluation performed on a subset by a domain expert. The evaluation indicated that ca. 80% of the mappings were correct.- Anthology ID:
- 2020.multilingualbio-1.2
- Volume:
- Proceedings of the LREC 2020 Workshop on Multilingual Biomedical Text Processing (MultilingualBIO 2020)
- Month:
- May
- Year:
- 2020
- Address:
- Marseille, France
- Venue:
- MultilingualBIO
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 9–14
- Language:
- English
- URL:
- https://aclanthology.org/2020.multilingualbio-1.2
- DOI:
- Cite (ACL):
- Ildiko Pilan, Pål H. Brekke, and Lilja Øvrelid. 2020. Building a Norwegian Lexical Resource for Medical Entity Recognition. In Proceedings of the LREC 2020 Workshop on Multilingual Biomedical Text Processing (MultilingualBIO 2020), pages 9–14, Marseille, France. European Language Resources Association.
- Cite (Informal):
- Building a Norwegian Lexical Resource for Medical Entity Recognition (Pilan et al., MultilingualBIO 2020)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/2020.multilingualbio-1.2.pdf