Tesi etd-06302021-202747 |
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Tipo di tesi
Tesi di dottorato di ricerca
Autore
DE MATTEI, LORENZO
URN
etd-06302021-202747
Titolo
Data and Models for Understanding andGenerating Stylistic Variation in Language.
Settore scientifico disciplinare
INF/01
Corso di studi
INFORMATICA
Relatori
tutor Dell'Orletta, Felice
tutor Nissim, Malvina
tutor Pedreschi, Dino
tutor Nissim, Malvina
tutor Pedreschi, Dino
Parole chiave
- language models
- neural networks
- style
- natural language generation
- NLG
- natural language processing
- NLP
Data inizio appello
20/07/2021
Consultabilità
Completa
Riassunto
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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