Automatic lexical semantic classification of nouns

Núria Bel, Lauren Romeo, Muntsa Padró


Abstract
The work we present here addresses cue-based noun classification in English and Spanish. Its main objective is to automatically acquire lexical semantic information by classifying nouns into previously known noun lexical classes. This is achieved by using particular aspects of linguistic contexts as cues that identify a specific lexical class. Here we concentrate on the task of identifying such cues and the theoretical background that allows for an assessment of the complexity of the task. The results show that, despite of the a-priori complexity of the task, cue-based classification is a useful tool in the automatic acquisition of lexical semantic classes.
Anthology ID:
L12-1271
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:
1448–1455
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/496_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Núria Bel, Lauren Romeo, and Muntsa Padró. 2012. Automatic lexical semantic classification of nouns. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 1448–1455, Istanbul, Turkey. European Language Resources Association (ELRA).
Cite (Informal):
Automatic lexical semantic classification of nouns (Bel et al., LREC 2012)
Copy Citation:
PDF:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/496_Paper.pdf