Abstract
In this paper we present an alignment experiment between patterns of verb use discovered by Corpus Pattern Analysis (CPA; Hanks 2004, 2008, 2012) and verb senses in OntoNotes (ON; Hovy et al. 2006, Weischedel et al. 2011). We present a probabilistic approach for mapping one resource into the other. Firstly we introduce a basic model, based on conditional probabilities, which determines for any given sentence the best CPA pattern match. On the basis of this model, we propose a joint source channel model (JSCM) that computes the probability of compatibility of semantic types between a verb phrase and a pattern, irrespective of whether the verb phrase is a norm or an exploitation. We evaluate the accuracy of the proposed mapping using cluster similarity metrics based on entropy.- Anthology ID:
- L14-1507
- 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:
- 882–889
- Language:
- URL:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/636_Paper.pdf
- DOI:
- Cite (ACL):
- Octavian Popescu, Martha Palmer, and Patrick Hanks. 2014. Mapping CPA Patterns onto OntoNotes Senses. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 882–889, Reykjavik, Iceland. European Language Resources Association (ELRA).
- Cite (Informal):
- Mapping CPA Patterns onto OntoNotes Senses (Popescu et al., LREC 2014)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/636_Paper.pdf