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An empirical study of semi-supervised structured conditional models for dependency parsing
dc.contributor.author | Suzuki, Jun |
dc.contributor.author | Isozaki, Hideki |
dc.contributor.author | Carreras Pérez, Xavier |
dc.contributor.author | Collins, Michael |
dc.date.accessioned | 2010-10-19T11:48:47Z |
dc.date.available | 2010-10-19T11:48:47Z |
dc.date.created | 2009 |
dc.date.issued | 2009 |
dc.identifier.citation | Suzuki, J. [et al.]. An empirical study of semi-supervised structured conditional models for dependency parsing. A: Conference on Empirical Methods in Natural Language Processing. "Conference on Empirical Methods in Natural Language Processing 2009". Singapur: 2009, p. 551-560. |
dc.identifier.uri | http://hdl.handle.net/2117/9810 |
dc.description.abstract | This paper describes an empirical study of high-performance dependency parsers based on a semi-supervised learning approach. We describe an extension of semisupervised structured conditional models (SS-SCMs) to the dependency parsing problem, whose framework is originally proposed in (Suzuki and Isozaki, 2008). Moreover, we introduce two extensions related to dependency parsing: The first extension is to combine SS-SCMs with another semi-supervised approach, described in (Koo et al., 2008). The second extension is to apply the approach to secondorder parsing models, such as those described in (Carreras, 2007), using a twostage semi-supervised learning approach. We demonstrate the effectiveness of our proposed methods on dependency parsing experiments using two widely used test collections: the Penn Treebank for English, and the Prague Dependency Treebank for Czech. Our best results on test data in the above datasets achieve 93.79% parent-prediction accuracy for English, and 88.05% for Czech. |
dc.format.extent | 10 p. |
dc.language.iso | eng |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Llenguatge natural |
dc.subject.lcsh | Computational linguistics |
dc.title | An empirical study of semi-supervised structured conditional models for dependency parsing |
dc.type | Conference report |
dc.subject.lemac | Lingüística computacional |
dc.contributor.group | Universitat Politècnica de Catalunya. GPLN - Grup de Processament del Llenguatge Natural |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://aclweb.org/anthology-new/D/D09/D09-1058.pdf |
dc.rights.access | Open Access |
local.identifier.drac | 2752740 |
dc.description.version | Postprint (published version) |
local.citation.author | Suzuki, J.; Isozaki, H.; Carreras, X.; Collins, M. |
local.citation.contributor | Conference on Empirical Methods in Natural Language Processing |
local.citation.pubplace | Singapur |
local.citation.publicationName | Conference on Empirical Methods in Natural Language Processing 2009 |
local.citation.startingPage | 551 |
local.citation.endingPage | 560 |