Academic Bibliography

 Search 200 years of publications by Ghent University researchers.
Advanced search
2 files | 403.92 KB
Add to list
  1. Search results
  2. Evaluation of automatic hypernym extr...

Evaluation of automatic hypernym extraction from technical corpora in English and Dutch

Els Lefever (UGent) , Marjan Van de Kauter (UGent) and Veronique Hoste (UGent)
(2014) LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION. p.490-497
Author
Organization
Abstract
In this research, we evaluate different approaches for the automatic extraction of hypernym relations from English and Dutch technical text. The detected hypernym relations should enable us to semantically structure automatically obtained term lists from domain- and user-specific data. We investigated three different hypernymy extraction approaches for Dutch and English: a lexico-syntactic pattern-based approach, a distributional model and a morpho-syntactic method. To test the performance of the different approaches on domain-specific data, we collected and manually annotated English and Dutch data from two technical domains, viz. the dredging and financial domain. The experimental results show that especially the morpho-syntactic approach obtains good results for automatic hypernym extraction from technical and domain-specific texts.
Keywords
semantic relations, terminology, hypernym extraction

Downloads

  • Download
    LREC2014.pdf
    • full text
    • |
    • open access
    • |
    • PDF
    • |
    • 201.96 KB
  • Download
    426 Paper.pdf
    • full text
    • |
    • open access
    • |
    • PDF
    • |
    • 201.96 KB

Citation

Please use this url to cite or link to this publication:

MLA
Lefever, Els, et al. “Evaluation of Automatic Hypernym Extraction from Technical Corpora in English and Dutch.” LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, edited by Nicoletta Calzolari et al., European Language Resources Association (ELRA), 2014, pp. 490–97.
APA
Lefever, E., Van de Kauter, M., & Hoste, V. (2014). Evaluation of automatic hypernym extraction from technical corpora in English and Dutch. In N. Calzolari, K. Choukri, T. Declerck, H. Loftsson, B. Maegaard, J. Mariani, … S. Piperidis (Eds.), LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (pp. 490–497). European Language Resources Association (ELRA).
Chicago author-date
Lefever, Els, Marjan Van de Kauter, and Veronique Hoste. 2014. “Evaluation of Automatic Hypernym Extraction from Technical Corpora in English and Dutch.” In LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, edited by Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, and Stelios Piperidis, 490–97. European Language Resources Association (ELRA).
Chicago author-date (all authors)
Lefever, Els, Marjan Van de Kauter, and Veronique Hoste. 2014. “Evaluation of Automatic Hypernym Extraction from Technical Corpora in English and Dutch.” In LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, ed by. Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, and Stelios Piperidis, 490–497. European Language Resources Association (ELRA).
Vancouver
1.
Lefever E, Van de Kauter M, Hoste V. Evaluation of automatic hypernym extraction from technical corpora in English and Dutch. In: Calzolari N, Choukri K, Declerck T, Loftsson H, Maegaard B, Mariani J, et al., editors. LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION. European Language Resources Association (ELRA); 2014. p. 490–7.
IEEE
[1]
E. Lefever, M. Van de Kauter, and V. Hoste, “Evaluation of automatic hypernym extraction from technical corpora in English and Dutch,” in LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, Reykjavik, Iceland, 2014, pp. 490–497.
@inproceedings{4416235,
  abstract     = {{In this research, we evaluate different approaches for the automatic extraction of hypernym relations from English and Dutch technical text. The detected hypernym relations should enable us to semantically structure automatically obtained term lists from domain- and user-specific data. We investigated three different hypernymy extraction approaches for Dutch and English: a lexico-syntactic pattern-based approach, a distributional model and a morpho-syntactic method. To test the performance of the different approaches on domain-specific data, we collected and manually annotated English and Dutch data from two technical domains, viz. the dredging and financial domain. The experimental results show that especially the morpho-syntactic approach obtains good results for automatic hypernym extraction from technical and domain-specific texts.}},
  author       = {{Lefever, Els and Van de Kauter, Marjan and Hoste, Veronique}},
  booktitle    = {{LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION}},
  editor       = {{Calzolari, Nicoletta and Choukri, Khalid and Declerck, Thierry and Loftsson, Hrafn and Maegaard, Bente and Mariani, Joseph and Moreno, Asuncion and Odijk, Jan and Piperidis, Stelios}},
  isbn         = {{9782951740884}},
  keywords     = {{semantic relations,terminology,hypernym extraction}},
  language     = {{eng}},
  location     = {{Reykjavik, Iceland}},
  pages        = {{490--497}},
  publisher    = {{European Language Resources Association (ELRA)}},
  title        = {{Evaluation of automatic hypernym extraction from technical corpora in English and Dutch}},
  url          = {{http://www.lrec-conf.org/proceedings/lrec2014/pdf/426_Paper.pdf}},
  year         = {{2014}},
}
Web of Science
Times cited: