Automatic Recognition of Domain-Specific Terms: an Experimental Evaluation.
This paper presents an experimental evaluation of the state-of-the-art approaches for automatic term recognition based on multiple features: machine learning method and voting algorithm. We show that in most cases machine learning approach obtains the best results and needs little data for training; we also find the best subsets of all popular features.
Proceedings of the Institute for System Programming, vol. 26, issue 4, 2014, pp. 55-72.
ISSN 2220-6426 (Online), ISSN 2079-8156 (Print).
DOI: 10.15514/ISPRAS-2014-26(4)-5Full text of the paper in pdf (in Russian) Back to the contents of the volume