Unsupervised Technical Domain Terms Extraction using Term Extractor

Suman Dowlagar, Radhika Mamidi


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
Editors:
Dipti Misra Sharma, Asif Ekbal, Karunesh Arora, Sudip Kumar Naskar, Dipankar Ganguly, Sobha L, Radhika Mamidi, Sunita Arora, Pruthwik Mishra, Vandan Mujadia
Venue:
ICON
SIG:
Publisher:
NLP Association of India (NLPAI)
Note:
Pages:
5–8
Language:
URL:
https://aclanthology.org/2020.icon-termtraction.2
DOI:
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/2020.icon-termtraction.2.pdf