1. 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 the grammar—for example allowing flexible
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      Discourse, Entailment, Machine Translation, NER, Parsing, Segmentation, Semantic, Sentiment, Summarization, WSD
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