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.
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
Text Summarization, Semantic Parsing, Data-to-Text, Question Answering, Recommendation Systems, Information Retrieval, Representation Learning, etc.
Research Themes
Generative NLP Models (e.g., BART, T5, GPT), Graph Neural Networks, Memory-Enhanced Neural Networks, Retrieval-Enhanced Language Models, Neuro-Symbolic AI, Knowledge Injection, Neural Reasoning, Deep Metric Learning, Vision-Language 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
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.
Latest Posts
We are proud to announce that our group has two papers accepted at Neurocomputing.
We are proud to announce that our group has one paper accepted at AI&LAW.