Enriching the “Senso Comune” Platform with Automatically Acquired Data

Tommaso Caselli, Laure Vieu, Carlo Strapparava, Guido Vetere


Abstract
This paper reports on research activities on automatic methods for the enrichment of the Senso Comune platform. At this stage of development, we will report on two tasks, namely word sense alignment with MultiWordNet and automatic acquisition of Verb Shallow Frames from sense annotated data in the MultiSemCor corpus. The results obtained are satisfying. We achieved a final F-measure of 0.64 for noun sense alignment and a F-measure of 0.47 for verb sense alignment, and an accuracy of 68% on the acquisition of Verb Shallow Frames.
Anthology ID:
L14-1458
Volume:
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Month:
May
Year:
2014
Address:
Reykjavik, Iceland
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
2130–2137
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/563_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Tommaso Caselli, Laure Vieu, Carlo Strapparava, and Guido Vetere. 2014. Enriching the “Senso Comune” Platform with Automatically Acquired Data. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 2130–2137, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
Enriching the “Senso Comune” Platform with Automatically Acquired Data (Caselli et al., LREC 2014)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/563_Paper.pdf