Phenomena Explanation from Text: Unsupervised Learning of Interpretable and Statistically Significant Knowledge. - Giacomo Frisoni; Gianluca Moro (DATA (Revised Selected Papers), 2020)

Learning Interpretable and Statistically Significant Knowledge from Unlabeled Corpora of Social Text Messages: A Novel Methodology of Descriptive Text Mining. - Giacomo Frisoni; Gianluca Moro; Antonella Carbonaro (DATA, 2020)

Unsupervised Descriptive Text Mining for Knowledge Graph Learning. - Giacomo Frisoni; Gianluca Moro; Antonella Carbonaro (KDIR, 2020)

Towards Rare Disease Knowledge Graph Learning from Social Posts of Patients. - Giacomo Frisoni; Gianluca Moro; Antonella Carbonaro (RIIFORUM, 2020)

A Survey on Event Extraction for Natural Language Understanding: Riding the Biomedical Literature Wave. - Giacomo Frisoni; Gianluca Moro; Antonella Carbonaro (IEEE Access, 2021)

NLG-Metricverse: An End-to-End Library for Evaluating Natural Language Generation. - Giacomo Frisoni; Antonella Carbonaro; Gianluca Moro; Andrea Zammarchi; Marco Avagnano (COLING, 2022)

Text-to-Text Extraction and Verbalization of Biomedical Event Graphs. - Giacomo Frisoni; Gianluca Moro; Lorenzo Balzani (COLING, 2022)

Enhancing Biomedical Scientific Reviews Summarization with Graph-based Factual Evidence Extracted from Papers. - Giacomo Frisoni; Paolo Italiani; Francesco Boschi; Gianluca Moro (DATA, 2022)

BioReader: a Retrieval-Enhanced Text-to-Text Transformer for Biomedical Literature. - Giacomo Frisoni; Miki Mizutani; Gianluca Moro; Lorenzo Valgimigli (EMNLP, 2022)

Unsupervised Event Graph Representation and Similarity Learning on Biomedical Literature. - Giacomo Frisoni; Gianluca Moro; Giulio Carlassare; Antonella Carbonaro (Sensors, 2022)

Human Being Detection from UWB NLOS Signals: Accuracy and Generality of Advanced Machine Learning Models. - Gianluca Moro; Federico Di Luca; Davide Dardari; Giacomo Frisoni (Sensors, 2022)

Cogito Ergo Summ: Abstractive Summarization of Biomedical Papers via Semantic Parsing Graphs and Consistency Rewards. - Giacomo Frisoni; Paolo Italiani; Stefano Salvatori; Gianluca Moro (AAAI, 2023)

Efficient Memory-Enhanced Transformer for Long-Document Summarization in Low-Resource Regimes. - Gianluca Moro; Luca Ragazzi; Lorenzo Valgimigli; Giacomo Frisoni; Claudio Sartori 001; Gustavo Marfia (Sensors, 2023)

Efficient text-image semantic search: A multi-modal vision-language approach for fashion retrieval. - Gianluca Moro; Stefano Salvatori; Giacomo Frisoni (Neurocomputing, 2023)

Graph-Enhanced Biomedical Abstractive Summarization Via Factual Evidence Extraction. - Giacomo Frisoni; Paolo Italiani; Gianluca Moro; Ilaria Bartolini; Marco Antonio Boschetti; Antonella Carbonaro (SN Comput. Sci., 2023)

To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering. - Giacomo Frisoni; Alessio Cocchieri; Alex Presepi; Gianluca Moro; Zaiqiao Meng (ACL (1), 2024)

Unknown Claims: Generation of Fact-Checking Training Examples from Unstructured and Structured Data. - Jean-Flavien Bussotti; Luca Ragazzi; Giacomo Frisoni; Gianluca Moro; Paolo Papotti (EMNLP, 2024)

Refining Triplet Sampling for Improved Self-Supervised Representation Learning. - Manuel Goyo; Giacomo Frisoni; Gianluca Moro; Claudio Sartori 001 (SEBD, 2024)

[Emoji] Evidence, my Dear Watson: Abstractive dialogue summarization on learnable relevant utterances. - Paolo Italiani; Giacomo Frisoni; Gianluca Moro; Antonella Carbonaro; Claudio Sartori 001 (Neurocomputing, 2024)

ZeroNER: Fueling Zero-Shot Named Entity Recognition via Entity Type Descriptions. - Alessio Cocchieri; Marcos Martínez Galindo; Giacomo Frisoni; Gianluca Moro; Claudio Sartori 001; Giuseppe Tagliavini (ACL (Findings), 2025)

KEIR @ ECIR 2025: The Second Workshop on Knowledge-Enhanced Information Retrieval. - Zihan Wang; Jinyuan Fang; Giacomo Frisoni; Zhuyun Dai; Zaiqiao Meng; Gianluca Moro; Emine Yilmaz (ECIR (5), 2025)

OpenBioNER: Lightweight Open-Domain Biomedical Named Entity Recognition Through Entity Type Description. - Alessio Cocchieri; Giacomo Frisoni; Marcos Martínez Galindo; Gianluca Moro; Giuseppe Tagliavini; Francesco Candoli (NAACL (Findings), 2025)