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Showing 1 to 6 of 6 for “"combinatory categorial grammar"”.
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Improving a supervised CCG parser
… thesis is the task of syntactic parsing with Combinatory Categorial Grammar (CCG). We focus on pipeline approaches that have allowed researchers to develop efficient and accurate parsers trained on articles taken from the Wall Street Journal (WSJ). We present three approaches to improving the …
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Sepia : semantic parsing for named entities
… structure for each named entity. The parser and grammar design are inspired by Combinatory Categorial Grammar. The data structures are designed to capture semantic dependencies using common syntactic forms. Sepia differs from other natural language parsers in that it does not use a pipeline …
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Learning to map sentences to logical form
… in the lambda calculus. The algorithm induces a Combinatory Categorial Grammar (CCG) for the problem, along with a log-linear model that represents a distribution over syntactic and semantic analyses conditioned on the input sentence. Next, we present an extension that addresses challenges that …
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Unsupervised Structure Induction for Natural Language Processing
… equivalence learning, the constituency grammar induction and the dependency grammar induction. In transliteration equivalence learning, transliterated bilingual word pairs are given without internal syllable alignments. The task is to automatically infer the mapping between syllables in …
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Unsupervised grammar induction with Combinatory Categorial Grammars
… context, knowledge, or cues. Unsupervised grammar induction is the task of analyzing strings in a language to discover the latent syntactic structure of the language without access to labeled training data. Successes in unsupervised grammar induction shed light on the amount of syntactic …
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Structured Learning with Inexact Search: Advances in Shift-Reduce CCG Parsing
Statistical shift-reduce parsing involves the interplay of representation learning, structured learning, and inexact search. This dissertation considers approaches that tightly integrate these three elements and explores three novel models for shift-reduce CCG parsing. First, I develop a dependency …