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158
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NAACL
2010
15 years 4 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...
188
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NAACL
2010
15 years 4 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...
138
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NAACL
2010
15 years 4 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...
185
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NAACL
2010
15 years 4 months ago
2010
Previous work on dependency parsing used various kinds of combination models but a systematic analysis and comparison of these approaches is lacking. In this paper we implemented ...
179
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NAACL
2010
15 years 4 months ago
2010
Current vector-space models of lexical semantics create a single "prototype" vector to represent the meaning of a word. However, due to lexical ambiguity, encoding word ...