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Hits 1 – 9 of 9

1
A Computationally efficient algorithm for learning topical collocation models
Zhao, Zhendong; Du, Lan; Börschinger, Benjamin. - : Red Hook, New York : Association for Computational Linguistics, 2015
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2
2009 CoNLL Shared Task Part 2
Hajič, Jan; Ciaramita, Massimiliano; Johansson, Richard. - : Linguistic Data Consortium, 2012. : https://www.ldc.upenn.edu, 2012
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3
2009 CoNLL Shared Task Part 2 ...
Ciaramita, Massimiliano; Johansson, Richard; Meyers, Adam. - : Linguistic Data Consortium, 2012
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4
Dependency parsing with second-order feature maps and annotated semantic information
In: Trends in parsing technology. - Dordrecht [u.a.] : Springer (2010), 87-104
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5
Company-oriented extractive summarization of financial news
In: Association for Computational Linguistics / European Chapter. Conference of the European Chapter of the Association for Computational Linguistics. - Menlo Park, Calif. : ACL 12 (2009), 246-254
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6
UNT-Yahoo: SuperSenseLearner: Combining SenseLearner with SuperSense and other Coarse Semantic Features
In: Fourth International Workshop on the Semantic Evaluations, 2007, Prague, Czech Republic (2007)
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7
A figure of merit for the evaluation of Web-corpus randomness
In: Association for Computational Linguistics / European Chapter. Conference of the European Chapter of the Association for Computational Linguistics. - Menlo Park, Calif. : ACL 11 (2006), 217-224
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8
Hierarchical Preferences in a Broad-Coverage Lexical Taxonomy
In: Ciaramita, Massimiliano; Johnson, Mark; Sloman, Steven; & Upfal, Eli. (2005). Hierarchical Preferences in a Broad-Coverage Lexical Taxonomy. Proceedings of the Cognitive Science Society, 27(27). Retrieved from: http://www.escholarship.org/uc/item/9j8221x8 (2005)
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9
Explaining away ambiguity: Learning verb selectional preference with Bayesian networks ...
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