Recognition of non-domain phrases in automatically extracted lists of terms

Agnieszka Mykowiecka, Malgorzata Marciniak, Piotr Rychlik


Abstract
In the paper, we address the problem of recognition of non-domain phrases in terminology lists obtained with an automatic term extraction tool. We focus on identification of multi-word phrases that are general terms and discourse function expressions. We tested several methods based on domain corpora comparison and a method based on contexts of phrases identified in a large corpus of general language. We compared the results of the methods to manual annotation. The results show that the task is quite hard as the inter-annotator agreement is low. Several tested methods achieved similar overall results, although the phrase ordering varied between methods. The most successful method with the precision about 0.75 at the half of the tested list was the context based method using a modified contextual diversity coefficient.
Anthology ID:
W16-4703
Volume:
Proceedings of the 5th International Workshop on Computational Terminology (Computerm2016)
Month:
December
Year:
2016
Address:
Osaka, Japan
Venues:
CompuTerm | WS
SIG:
Publisher:
The COLING 2016 Organizing Committee
Note:
Pages:
12–20
Language:
URL:
https://www.aclweb.org/anthology/W16-4703
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/W16-4703.pdf