
HypoTerm detection of hypernym relations between domain-specific terms in Dutch and English
- Author
- Els Lefever (UGent) , Marjan Van de Kauter (UGent) and Veronique Hoste (UGent)
- Organization
- Abstract
- HypoTerm is a data-driven semantic relation finder that starts from a list of automatically extracted domain- and user-specific terms from technical corpora, and generates a list of relations between these terms. This research study focused on the detection of hypernym relations between relevant terms and named entities. In order to detect all relevant hypernym relations in technical texts, we combined a lexico-syntactic pattern-based approach and a morpho-syntactic analyzer. To evaluate our relation finder, we constructed and manually annotated gold standard data for the dredging and financial domain in Dutch and English. The experimental results show that the HypoTerm system achieves high precision and recall figures for technical texts when starting from valid domain-specific terms and named entities. Thanks to this data-driven approach, it is possible to take an important step from terminology to concept extraction without using any external lexico-semantic resources.
- Keywords
- terminology extraction, technical corpora, hypernym detection, semantic relations, EXTRACTION
Downloads
-
(...).pdf
- full text
- |
- UGent only
- |
- |
- 425.40 KB
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-5802604
- MLA
- Lefever, Els, et al. “HypoTerm Detection of Hypernym Relations between Domain-Specific Terms in Dutch and English.” TERMINOLOGY, edited by Pamela Faber and Marie-Claude L’Homme, vol. 20, no. 2, John Benjamins Publishing Company, 2014, pp. 250–78, doi:10.1075/term.20.2.06lef.
- APA
- Lefever, E., Van de Kauter, M., & Hoste, V. (2014). HypoTerm detection of hypernym relations between domain-specific terms in Dutch and English. TERMINOLOGY, 20(2), 250–278. https://doi.org/10.1075/term.20.2.06lef
- Chicago author-date
- Lefever, Els, Marjan Van de Kauter, and Veronique Hoste. 2014. “HypoTerm Detection of Hypernym Relations between Domain-Specific Terms in Dutch and English.” Edited by Pamela Faber and Marie-Claude L’Homme. TERMINOLOGY 20 (2): 250–78. https://doi.org/10.1075/term.20.2.06lef.
- Chicago author-date (all authors)
- Lefever, Els, Marjan Van de Kauter, and Veronique Hoste. 2014. “HypoTerm Detection of Hypernym Relations between Domain-Specific Terms in Dutch and English.” Ed by. Pamela Faber and Marie-Claude L’Homme. TERMINOLOGY 20 (2): 250–278. doi:10.1075/term.20.2.06lef.
- Vancouver
- 1.Lefever E, Van de Kauter M, Hoste V. HypoTerm detection of hypernym relations between domain-specific terms in Dutch and English. Faber P, L’Homme M-C, editors. TERMINOLOGY. 2014;20(2):250–78.
- IEEE
- [1]E. Lefever, M. Van de Kauter, and V. Hoste, “HypoTerm detection of hypernym relations between domain-specific terms in Dutch and English,” TERMINOLOGY, vol. 20, no. 2, pp. 250–278, 2014.
@article{5802604, abstract = {{HypoTerm is a data-driven semantic relation finder that starts from a list of automatically extracted domain- and user-specific terms from technical corpora, and generates a list of relations between these terms. This research study focused on the detection of hypernym relations between relevant terms and named entities. In order to detect all relevant hypernym relations in technical texts, we combined a lexico-syntactic pattern-based approach and a morpho-syntactic analyzer. To evaluate our relation finder, we constructed and manually annotated gold standard data for the dredging and financial domain in Dutch and English. The experimental results show that the HypoTerm system achieves high precision and recall figures for technical texts when starting from valid domain-specific terms and named entities. Thanks to this data-driven approach, it is possible to take an important step from terminology to concept extraction without using any external lexico-semantic resources.}}, author = {{Lefever, Els and Van de Kauter, Marjan and Hoste, Veronique}}, editor = {{Faber, Pamela and L'Homme, Marie-Claude}}, issn = {{0929-9971}}, journal = {{TERMINOLOGY}}, keywords = {{terminology extraction,technical corpora,hypernym detection,semantic relations,EXTRACTION}}, language = {{eng}}, number = {{2}}, pages = {{250--278}}, publisher = {{John Benjamins Publishing Company}}, title = {{HypoTerm detection of hypernym relations between domain-specific terms in Dutch and English}}, url = {{http://doi.org/10.1075/term.20.2.06lef}}, volume = {{20}}, year = {{2014}}, }
- Altmetric
- View in Altmetric
- Web of Science
- Times cited: