Supervised Activities
Here you find a selection of master theses, project works, and other activities carried out by AI master students under our supervision
Master Theses
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Enhancing Document Parsing And Question Answering Through Optimized Table Parsing
Student: Marta Stella
Period: July 2024 -
Development of an LLM-based System for the Generation of Multiple-choice English Grammar Exercises
Studenti: Matteo Periani
Period: July 2024 -
An Artificial Intelligence System for the Autonomous Pagination of Newspapers
Student: Enab Muneer
Session: July 2024 -
Example Sentence Suggestion for Learners of Japanese as a Second Language Using Pretrained Language Models
Student: Enrico Benedetti
Period: March 2024 -
Fine-Tuning Neural Codec Language Models from Feedback with Reinforcement Learning
Student: Lorenzo Pratesi
Period: March 2024 -
Diving into Song Lyrics with Large Language Models: Unveiling Metadata Insights and Fueling Video Lyrics Generation
Student: Simona Scala
Period: March 2024 -
Automating Test Case Generation for Automotive Industry using Large Language Models
Student: Giuseppe Tanzi
Period: March 2024 -
Developing and Comparing Machine Reasoning Models to Humans in NLP Tasks
Student: Mohammad Reza Ghasemi Madani
Period: February 2024 -
Comprehensive study of clinical entity extraction and classification using Large Language Models
Student: Michele Faedi
Period: December 2023 -
Addressing Misinformation Challenges in War Scenario: Russo-Ukrainian War
Student: Bogdan Ivasiuk
Period: December 2023 -
Neural-Symbolic Learning: challenges and benchmarks
Student: Vincenzo Collura
Period: October 2023 -
From text to knowledge: Large Language Models-based methods for knowledge extraction
Student: Gianmarco Pappacoda
Period: October 2023 -
Automatic Terminology Coding for the Biomedical Domain
Student: Emanuele Bollino
Period: October 2023 -
On the use of Prompting for Fine-Tuning Neural models for Speech Processing
Student: Stefano Ciapponi
Period: October 2023 -
https://amslaurea.unibo.it/30041/
Student: Ildebrando Simeoni
Period: October 2023 -
Argument Mining into Active Learning Systematic Reviews: unlocking the synergy between MARGOT and ASReview
Student: Elisa Ancarani
Period: October 2023 -
A TWO-STEP LLM-AUGMENTED DISTILLATION METHOD FOR PASSAGE RERANKING
Student: Davide Baldelli
Period: October 2023 -
Design and Implementation of a Neural Machine Translation Engine for Computer-Assisted Translations
Student: Rooshan Saleem Butt
Period: October 2023 -
Leveraging Large Language Models for content analysis and generation for podcast transcriptions
Student: Michael Magdy Nasr Zaki Ghaly
Period: October 2023 -
Design and implementation of a privacy-preserving dialogue system based on argumentation
Student: Lorenzo Borelli
Period: July 2023 -
Emotion Recognition for Human-Centered Conversational Agents
Student: Luca Bolognini
Period: March 2023 -
Knowledge graph embedding enhancement using ontological knowledge in the biomedical domain
Student: Lorenzo Niccolai
Period: March 2023 -
Prompting techniques for Natural Language Generation in the Medical Domain
Student: Martina Rossini
Period: March 2023 -
Voice conversion with pre-trained representations for audio anonymization
Student: Marco Costante
Period: February 2023 -
SynBA: A contextualized Synonim-Based adversarial Attack for text classification
Student: Giuseppe Murro
Period: December 2022 -
Voice Cloning: Increasing Expressivity of Italian Text-to-Speech with Phonemization
Student: Martino Mare Lakota Pulici
Period: December 2022 -
Royalty-Management Smart Contracts With Graph Neural Network-Based Artist Recommendations
Student: Nicola Amoriello
Period: July 2022 -
Intermediate Linguistic Task Fine-tuning On Multilingual Models
Student: Luca Rispoli
Period: July 2022 -
Vocabulary Transfer and Knowledge Distillation for Language Model Compression
Student: Gee Jun Hui Leonidas Yunani
Period: July 2022 -
A Critical Survey Of Text-to-image Synthesis By Generative Adversarial Networks: Concepts, Methods, And Evaluations
Student: Luca Bandini
Period: March 2022 -
Using semantic entities to improve the distillation of transformers
Student: Riccardo Cozzi
Period: March 2022 -
Graph Neural Networks for Recommender Systems
Student: Oleksandr Olmucci Poddubnyy
Period: February 2022 -
Disruptive Situations Detection on Public Transports through Speech Emotion Recognition
Student: Eleonora Mancini
Period: December 2021 -
A Neurosymbolic Framework for Markov Logic Networks
Student: Arcangelo Alberico
Period: October 2021 -
Small transformers for Bioinformatics tasks
Student: Luca Salvatore Lorello
Session: July 2021 -
Advanced techniques for cross-language annotation projection in legal texts
Student: Francesco Antici
Session: July 2021 -
Automatic extraction of scientific articles based on user queries expressed in natural language
Student: Mauro Rondina
Session: February 2021
Bachelor Theses
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Development of an argumentative chatbot in python
Student: Federico Spurio
Session: July 2020
Project Works
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Multimodal Argument Mining
Student(s): Samuele Marro, Stefano Colamonaco, Andrea Zecca
Course: Master Degree in Artificial Intelligence
Period: Spring 2024 -
Summarization with Transformers
Student: Emanuel Scaglione
Course: Master Degree in Computer Engineering
Period: Summer 2021 -
Document subjectivity classification on Italian news articles dataset
Student: Oleksandr Olmucci Poddubnyy
Course: Master Degree in Artificial Intelligence
Period: Spring 2021 -
SubjectivITA: An Italian Corpus for Subjectivity Detection in Newspapers
Students: Francesco Antici, Luca Bolognini, Matteo Antonio Inajetovic, Bogdan Ivasiuk
Course: Master Degree in Artificial intelligence
Period: Spring 2021