5 citations · 13 across the 11 of their papers we have counts for
11 papers
Overview of BioASQ 2026: The fourteenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
Anastasios Nentidis, Georgios Katsimpras, Anastasia Krithara +18
This paper presents an overview of the fourteenth edition of the BioASQ challenge, organized in the context of the Conference and Labs of the Evaluation Forum (CLEF) 2026. BioASQ i…
Ontology-Driven Structural Regularization for Document-Level Relation Extraction
Laura Menotti, Stefano Marchesin, Gianmaria Silvello
Document-Level Relation Extraction (DocRE) relies heavily on costly manually annotated datasets, while large distant supervision resources such as DocRED distant remain underexploi…
Benchmarking Large Language Models for Knowledge Graph Validation
Farzad Shami, Stefano Marchesin, Gianmaria Silvello
Knowledge Graphs (KGs) store structured factual knowledge by linking entities through relationships, crucial for many applications. These applications depend on the KG's factual ac…
A Domain-Specific Curated Benchmark for Entity and Document-Level Relation Extraction
Marco Martinelli, Stefano Marchesin, Vanessa Bonato +6
Information Extraction (IE), encompassing Named Entity Recognition (NER), Named Entity Linking (NEL), and Relation Extraction (RE), is critical for transforming the rapidly growing…
DOREMI: Optimizing Long Tail Predictions in Document-Level Relation Extraction
Laura Menotti, Stefano Marchesin, Gianmaria Silvello
Document-Level Relation Extraction (DocRE) presents significant challenges due to its reliance on cross-sentence context and the long-tail distribution of relation types, where man…
Efficient and Reliable Estimation of Named Entity Linking Quality: A Case Study on GutBrainIE
Marco Martinelli, Stefano Marchesin, Gianmaria Silvello
Named Entity Linking (NEL) is a core component of biomedical Information Extraction (IE) pipelines, yet assessing its quality at scale is challenging due to the high cost of expert…
Overview of BioASQ 2025: The Thirteenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
Anastasios Nentidis, Georgios Katsimpras, Anastasia Krithara +17
This is an overview of the thirteenth edition of the BioASQ challenge in the context of the Conference and Labs of the Evaluation Forum (CLEF) 2025. BioASQ is a series of internati…
Credible Intervals for Knowledge Graph Accuracy Estimation
Stefano Marchesin, Gianmaria Silvello
Knowledge Graphs (KGs) are widely used in data-driven applications and downstream tasks, such as virtual assistants, recommendation systems, and semantic search. The accuracy of KG…
Automatic Labels are as Effective as Manual Labels in Biomedical Images Classification with Deep Learning
Niccolò Marini, Stefano Marchesin, Lluis Borras Ferris +12
The increasing availability of biomedical data is helping to design more robust deep learning (DL) algorithms to analyze biomedical samples. Currently, one of the main limitations…
Query Performance Prediction for Neural IR: Are We There Yet?
Guglielmo Faggioli, Thibault Formal, Stefano Marchesin +3
Evaluation in Information Retrieval relies on post-hoc empirical procedures, which are time-consuming and expensive operations. To alleviate this, Query Performance Prediction (QPP…
A Relation Extraction Approach for Clinical Decision Support
Maristella Agosti, Giorgio Maria Di Nunzio, Stefano Marchesin +1
In this paper, we investigate how semantic relations between concepts extracted from medical documents can be employed to improve the retrieval of medical literature. Semantic rela…