Paper accepted at TACL!
My first-authored paper entitled ‘Let the Guidelines Guide You: A Prescriptive Guideline-Centered Data Annotation Methodology’ has been accepted to TACL!
☕️Federico Ruggeri
(he/him)
Postdoctoral Research Fellow
Professional Summary
I hold the position of Post-doc Research Fellow at the Computer Science and Engineering Department (DISI) of the University of Bologna and I’m mainly researching knowledge extraction and Neuro-symbolic solutions for UKI.
My main research area is integrating unstructured knowledge into deep learning models. I’m currently focusing on Natural Language Processing (NLP) and Argument Mining, a branch of NLP that aims at extracting arguments from unstructured texts.
Education
PhD Computer Science
2021
2018
University of Bologna
MS Computer Science
2015
2018
University of Bologna
BS Computer Science
2012
2015
University of Bologna
Interests
Large Language Models
NLP
Interpretability
Knowledge Integration
Knowledge Extraction
📚 Research Topics
I’m a postdoctoral research fellow in Bologna, Italy, at Language Technologies Lab.
The aim of my research is to devise Natural Language Processing (NLP) systems that learn to generate, distill, and use knowledge from unstructured text.
During my research activity, I have taken several steps towards this ultimate goal of learning with knowledge, with applications in Argument Mining and Legal Analytics.
I’m pursuing these efforts by focusing on two main directions:
Unstructured Knowledge Integration
The capability of models to leverage a large amount of unstructured textual knowledge to address specific problems.
Structured Knowledge Extraction from Text
The capability of models to extract structured knowledge from raw text.
Selected Publications
(2026).
Let Guidelines Guide You: A Prescriptive Guideline-Centered Data Annotation Methodology.
Transactions of the Association for Computational Linguistics (TACL).
(2025).
Assessing the Reasoning Capabilities of LLMs in the context of Evidence-based Claim Verification.
Findings of the Association for Computational Linguistics: ACL 2025.
(2025).
Interlocking-free Selective Rationalization Through Genetic-based Learning.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
(2025).
Untangling Hate Speech Definitions: A Semantic Componential Analysis Across Cultures and Domains.
Findings of the Association for Computational Linguistics: NAACL 2025.
(2025).
Promoting the Responsible Development of Speech Datasets for Mental Health and Neurological Disorders Research.
J. Artif. Intell. Res..
Recent News
EquAl: Equitable Algorithms, Promoting Fairness and Countering Algorithmic Discrimination Through Norms and Technologies - Final Conference
I was invited to give a talk about the academic reproducibility crysis.
PRIMA: PRivacy Infringements Machine-Advice - Final Conference
I was invited to give a talk about a how we can define interpretable models by teaching them to extract highlights from text
ALMA-AI | Workshop LLM: a debate on technical experiences
I was invited to give a talk about LLMs and reasoning