Unsupervised Acquisition of Verb Subcategorization Frames from Shallow-Parsed Corpora

Alessandro Lenci, Barbara McGillivray, Simonetta Montemagni, Vito Pirrelli


Abstract
In this paper, we reported experiments of unsupervised automatic acquisition of Italian and English verb subcategorization frames (SCFs) from general and domain corpora. The proposed technique operates on syntactically shallow-parsed corpora on the basis of a limited number of search heuristics not relying on any previous lexico-syntactic knowledge about SCFs. Although preliminary, reported results are in line with state-of-the-art lexical acquisition systems. The issue of whether verbs sharing similar SCFs distributions happen to share similar semantic properties as well was also explored by clustering verbs that share frames with the same distribution using the Minimum Description Length Principle (MDL). First experiments in this direction were carried out on Italian verbs with encouraging results.
Anthology ID:
L08-1097
Volume:
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)
Month:
May
Year:
2008
Address:
Marrakech, Morocco
Editors:
Nicoletta Calzolari, Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
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Pages:
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2008/pdf/763_paper.pdf
DOI:
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Cite (ACL):
Alessandro Lenci, Barbara McGillivray, Simonetta Montemagni, and Vito Pirrelli. 2008. Unsupervised Acquisition of Verb Subcategorization Frames from Shallow-Parsed Corpora. In Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08), Marrakech, Morocco. European Language Resources Association (ELRA).
Cite (Informal):
Unsupervised Acquisition of Verb Subcategorization Frames from Shallow-Parsed Corpora (Lenci et al., LREC 2008)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2008/pdf/763_paper.pdf