1. Conference on Empirical Methods

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    1. Mentioned In 17 Articles

    2. New Ranking Algorithms for Parsing and Tagging: Kernels overDiscrete Structures, and the Voted Perceptron

      New Ranking Algorithms for Parsing and Tagging: Kernels over Discrete Structures, and the Voted Perceptron Michael Collins AT&T Labs-Research, Florham Park, New Jersey. mcollins@research.att.com Nigel Duffy iKuni Inc., 3400 Hillview Ave., Building 5, Palo Alto, CA 94304. nigeduff@cs.ucsc.edu Abstract This paper introduces new learning algorithms for natural language processing based on the perceptron algorithm. We show how the algorithms can be efficiently applied ...
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    3. Online Learning of Relaxed CCG Grammars for Parsing to LogicalForm.

      Online Learning of Relaxed CCG Grammars for Parsing to Logical Form Luke S. Zettlemoyer and Michael Collins MIT CSAIL lsz@csail.mit.edu,mcollins@csail.mit.edu Abstract We consider the problem of learning to parse sentences to lambda-calculus representations of their underlying semantics and present an algorithm that learns a weighted combinatory categorial grammar (CCG). A key idea is to introduce non-standard CCG combinators that relax certain parts of ...
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      Discourse, Entailment, Machine Translation, NER, Parsing, Segmentation, Semantic, Sentiment, Summarization, WSD