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ETD

Digital archive of theses discussed at the University of Pisa

 

Thesis etd-06302021-202747

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Thesis type
Tesi di dottorato di ricerca
URN
etd-06302021-202747
Thesis title
Data and Models for Understanding andGenerating Stylistic Variation in Language.
Academic discipline
INF/01 - INFORMATICA
Course of study
INFORMATICA
Keywords
  • language models
  • natural language generation
  • natural language processing
  • neural networks
  • NLG
  • NLP
  • style
Graduation session start date
20/07/2021
Availability
Full
Abstract (Inglese)
Abstract (Italiano)
Stylistic choices are a fundamental aspect of verbal communication both from the language
understanding and from the language production points of view. The goal of this thesis is
twofold. From one side the focus is on the study of Natural Language Processing techniques
that are able to capture stylistic variations in texts. On the other side, the thesis investigates how
those techniques can be applied to assess the capability of the Natural Language Generation
System to reproduce such stylistic variations in generated texts.
File
Nome file Dimensione
De_Matte...eport.pdf 55.59 Kb
PhD_Thes...rsion.pdf 3.04 Mb
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