Abstract
Terminology extraction, also known as term extraction, is a subtask of information extraction. The goal of terminology extraction is to extract relevant words or phrases from a given corpus automatically. This paper focuses on the unsupervised automated domain term extraction method that considers chunking, preprocessing, and ranking domain-specific terms using relevance and cohesion functions for ICON 2020 shared task 2: TermTraction.- Anthology ID:
- 2020.icon-termtraction.2
- Volume:
- Proceedings of the 17th International Conference on Natural Language Processing (ICON): TermTraction 2020 Shared Task
- Month:
- December
- Year:
- 2020
- Address:
- Patna, India
- Venue:
- ICON
- SIG:
- Publisher:
- NLP Association of India (NLPAI)
- Note:
- Pages:
- 5–8
- Language:
- URL:
- https://aclanthology.org/2020.icon-termtraction.2
- DOI:
- Cite (ACL):
- Suman Dowlagar and Radhika Mamidi. 2020. Unsupervised Technical Domain Terms Extraction using Term Extractor. In Proceedings of the 17th International Conference on Natural Language Processing (ICON): TermTraction 2020 Shared Task, pages 5–8, Patna, India. NLP Association of India (NLPAI).
- Cite (Informal):
- Unsupervised Technical Domain Terms Extraction using Term Extractor (Dowlagar & Mamidi, ICON 2020)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/2020.icon-termtraction.2.pdf