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

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

Development of an argumentative chatbot in python
Student: Federico Spurio
Session: July 2020

Project Works

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