Abstract
The paper describes a strategy that applies heuristics to combine sets of terminological words and words combination pre-extracted from a scientific text by several term recognition procedures. Each procedure is based on a collection of lexico-syntactic patterns representing specific linguistic information about terms within scientific texts. Our strategy is aimed to improve the quality of automatic term extraction from a particular scientific text. The experiments have shown that the strategy gives 11–17 % increase of F-measure compared with the commonly-used methods of term extraction.
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We would like to thank the anonymous reviewers of our paper for their helpful and constructive comments.
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Bolshakova, E.I., Efremova, N.E. (2015). A Heuristic Strategy for Extracting Terms from Scientific Texts. In: Khachay, M., Konstantinova, N., Panchenko, A., Ignatov, D., Labunets, V. (eds) Analysis of Images, Social Networks and Texts. AIST 2015. Communications in Computer and Information Science, vol 542. Springer, Cham. https://doi.org/10.1007/978-3-319-26123-2_29
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DOI: https://doi.org/10.1007/978-3-319-26123-2_29
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