DutchSemCor: Targeting the ideal sense-tagged corpus

Piek Vossen, Attila Görög, Rubén Izquierdo, Antal van den Bosch


Abstract
Word Sense Disambiguation (WSD) systems require large sense-tagged corpora along with lexical databases to reach satisfactory results. The number of English language resources for developed WSD increased in the past years while most other languages are still under-resourced. The situation is no different for Dutch. In order to overcome this data bottleneck, the DutchSemCor project will deliver a Dutch corpus that is sense-tagged with senses from the Cornetto lexical database. In this paper, we discuss the different conflicting requirements for a sense-tagged corpus and our strategies to fulfill them. We report on a first series of experiments to sup- port our semi-automatic approach to build the corpus.
Anthology ID:
L12-1049
Volume:
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)
Month:
May
Year:
2012
Address:
Istanbul, Turkey
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Mehmet Uğur Doğan, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
584–589
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/187_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Piek Vossen, Attila Görög, Rubén Izquierdo, and Antal van den Bosch. 2012. DutchSemCor: Targeting the ideal sense-tagged corpus. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 584–589, Istanbul, Turkey. European Language Resources Association (ELRA).
Cite (Informal):
DutchSemCor: Targeting the ideal sense-tagged corpus (Vossen et al., LREC 2012)
Copy Citation:
PDF:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/187_Paper.pdf