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NAACL
2010
14 years 8 months ago
2010
We show how features can easily be added to standard generative models for unsupervised learning, without requiring complex new training methods. In particular, each component mul...
NAACL
2010
14 years 8 months ago
2010
We consider the problem of predicting a movie's opening weekend revenue. Previous work on this problem has used metadata about a movie--e.g., its genre, MPAA rating, and cast...
NAACL
2010
14 years 8 months ago
2010
We present a method for disambiguating syntactic subjects from syntactic objects (a frequent ambiguity) in German sentences taken from an English-German bitext. We exploit the fac...
NAACL
2010
14 years 8 months ago
2010
We suggest improvements to a previously proposed framework for integrating Conditional Random Fields and Hidden Markov Models, dubbed a Crandem system (2009). The previous authors...
NAACL
2010
14 years 8 months ago
2010
Syntactic machine translation systems currently use word alignments to infer syntactic correspondences between the source and target languages. Instead, we propose an unsupervised...