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ACL
2006
13 years 10 months ago
Soft Syntactic Constraints for Word Alignment through Discriminative Training
Word alignment methods can gain valuable guidance by ensuring that their alignments maintain cohesion with respect to the phrases specified by a monolingual dependency tree. Howev...
Colin Cherry, Dekang Lin
EMNLP
2008
13 years 10 months ago
Online Large-Margin Training of Syntactic and Structural Translation Features
Minimum-error-rate training (MERT) is a bottleneck for current development in statistical machine translation because it is limited in the number of weights it can reliably optimi...
David Chiang, Yuval Marton, Philip Resnik
EMNLP
2009
13 years 6 months ago
Polylingual Topic Models
Topic models are a useful tool for analyzing large text collections, but have previously been applied in only monolingual, or at most bilingual, contexts. Meanwhile, massive colle...
David M. Mimno, Hanna M. Wallach, Jason Naradowsky...
CIKM
2008
Springer
13 years 10 months ago
Topic models and a revisit of text-related applications
Topic models such as aspect model or LDA have been shown as a promising approach for text modeling. Unlike many previous models that restrict each document to a single topic, topi...
Viet Ha-Thuc, Padmini Srinivasan
PKDD
2010
Springer
154views Data Mining» more  PKDD 2010»
13 years 7 months ago
Topic Models Conditioned on Relations
Latent Dirichlet allocation is a fully generative statistical language model that has been proven to be successful in capturing both the content and the topics of a corpus of docum...
Mirwaes Wahabzada, Zhao Xu, Kristian Kersting