@inproceedings{popescu-etal-2014-mapping,
title = "Mapping {CPA} Patterns onto {O}nto{N}otes Senses",
author = "Popescu, Octavian and
Palmer, Martha and
Hanks, Patrick",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/636_Paper.pdf",
pages = "882--889",
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.",
}
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%0 Conference Proceedings
%T Mapping CPA Patterns onto OntoNotes Senses
%A Popescu, Octavian
%A Palmer, Martha
%A Hanks, Patrick
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F popescu-etal-2014-mapping
%X 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.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/636_Paper.pdf
%P 882-889
Markdown (Informal)
[Mapping CPA Patterns onto OntoNotes Senses](http://www.lrec-conf.org/proceedings/lrec2014/pdf/636_Paper.pdf) (Popescu et al., LREC 2014)
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).