Thesis etd-06302021-202747 |
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Thesis type
Tesi di dottorato di ricerca
Author
DE MATTEI, LORENZO
URN
etd-06302021-202747
Thesis title
Data and Models for Understanding andGenerating Stylistic Variation in Language.
Academic discipline
INF/01
Course of study
INFORMATICA
Supervisors
tutor Dell'Orletta, Felice
tutor Nissim, Malvina
tutor Pedreschi, Dino
tutor Nissim, Malvina
tutor Pedreschi, Dino
Keywords
- language models
- neural networks
- style
- natural language generation
- NLG
- natural language processing
- NLP
Graduation session start date
20/07/2021
Availability
Full
Summary
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.
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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