Incremental generative models for syntactic and semantic natural language processing

Incremental generative models for syntactic and semantic natural language processing

<p>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 se...

Полное описание

Библиографические подробности
Главный автор:	Buys, J
Другие авторы:	Blunsom, P
Формат:	Диссертация
Язык:	English
Опубликовано:	2017
Предметы:	Natural Language Processing Machine Learning Computer Science Computational Linguistics

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