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Thesis

Incremental generative models for syntactic and semantic natural language processing

Abstract:

This thesis investigates the role of linguistically-motivated generative models of syntax and semantic structure in natural language processing (NLP). Syntactic well-formedness is crucial in language generation, but most statistical models do not account for the hierarchical structure of sentences. Many applications exhibiting natural language understanding rely on structured semantic representations to enable querying, inference and reasoning. Yet most semantic parsers produce domain-spec...

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Division:
MPLS
Department:
Computer Science
Role:
Author

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Role:
Supervisor
Clarendon Fund More from this funder
Skye Foundation (South Africa) More from this funder
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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