DISI UniBo NLP

The DISI UniBo Natural Language Processing Group (DISI UniBo NLP) in Cesena campus, led by prof. Gianluca Moro, includes Ph.D. students and researchers of the Department of Computer Science and Engineering of the University of Bologna.

Valuable Tasks

Chatbots, Text Summarization, Semantic Parsing, Data-to-Text, Question Answering, Recommendation Systems, Information Retrieval, Representation Learning, etc.

Research Themes

Large Language Models, Graph Neural Networks, Memory- and Retrieval-Enhanced Language Models, Knowledge Injection, Neuro-Symbolic AI, Neural Reasoning, Deep Metric Learning, Multimodal AI, Explainability

Open and Closed Domains

Our research moves from General-domain and Commonsense to Medical, Biomedical, and Legal real-world applications, including collaborations with impactful companies and research groups

Research Group Presentation

Our group aims at devising and developing innovative solutions for Natural Language Processing, Understanding, and Generation. We pursue a vision focused on integrating explicit, symbolic knowledge with deep learning.

🤖 Dive into the cutting-edge world of Large Language Models (LLMs) with our latest slide deck!

ICLR 2024

We are proud to announce that our group has one paper accepted at ICLR 24.

ECAI 2023

We are proud to announce that our group has one paper accepted at ECAI 23.

Neurocomputing

We are proud to announce that our group has two papers accepted at Neurocomputing.

Artificial Intelligence and Law

We are proud to announce that our group has one paper accepted at AI&LAW.

AAAI 2023

We are proud to announce that our group has two paper accepted at AAAI 23.

EMNLP 2022

We are proud to announce that our group will be at EMNLP 2022 with an accepted long paper in the main track (22% acceptance rate). We will attend in presence and present BioReader, the first retrieval-enhanced transformer for biomedical literature.

COLING 2022

We are proud to announce that our group will be at COLING 2022 with two accepted long papers in the main track. We will present our works on Event Extraction, Graph Verbalization, and Natural Language Generation Evaluation.

AAAI 2022

We are proud to announce that our group will be at AAAI 2022 with an accepted paper in the main track on low-resource document summarization.