The paper describes the method of extraction of two-word domain terms combining their features. The features are computed from three sources: the occurrence statistics in a domain-specific text collection, the statistics of global search engines, and a domain-specific thesaurus. The evaluation of the approach is based on the terminology of manually created thesauri. We show that the use of multiple features considerably improves the automatic extraction of domain-specific terms. We compare the quality of the proposed method in two different domains. © 2011 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Dobrov, B., & Loukachevitch, N. (2011). Combining evidence for automatic extraction of terms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6744 LNCS, pp. 235–241). https://doi.org/10.1007/978-3-642-21786-9_39
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