Proceedings of ISP RAS


Automatic Recognition of Domain-Specific Terms: an Experimental Evaluation.

D. Fedorenko, N. Astrakhantsev, D. Turdakov.

Abstract

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.

Keywords

automatic term recognition, term extraction, machine learning, experimental evaluation, feature selection

Edition

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)-5

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