activity
20172024
most citedHealth Misinformation Detection in Web Content via Web2Vec: A Structural-, Content-based, and Context-aware Approach based on Web2Vec

21 citations · 51 across the 10 of their papers we have counts for

collaborators

11 papers

cs.IR2024★ 21 cited

Health Misinformation Detection in Web Content via Web2Vec: A Structural-, Content-based, and Context-aware Approach based on Web2Vec

Rishabh Upadhyay, Gabriella Pasi, Marco Viviani

In recent years, we have witnessed the proliferation of large amounts of online content generated directly by users with virtually no form of external control, leading to the possi…

cs.IR2023★ 1 cited

Denoising Attention for Query-aware User Modeling in Personalized Search

Elias Bassani, Pranav Kasela, Gabriella Pasi

The personalization of search results has gained increasing attention in the past few years, thanks to the development of Neural Networks-based approaches for Information Retrieval…

cs.AI2023★ 4 cited

Fuzzy order-sorted feature logic

Gian Carlo Milanese, Gabriella Pasi

Order-Sorted Feature (OSF) logic is a knowledge representation and reasoning language based on function-denoting feature symbols and set-denoting sort symbols ordered in a subsumpt…

cs.IR2023★ 10 cited

SE-PQA: Personalized Community Question Answering

Pranav Kasela, Marco Braga, Gabriella Pasi +1

Personalization in Information Retrieval is a topic studied for a long time. Nevertheless, there is still a lack of high-quality, real-world datasets to conduct large-scale experim…

cs.IR2023★ 1 cited

Retrieval for Extremely Long Queries and Documents with RPRS: a Highly Efficient and Effective Transformer-based Re-Ranker

Arian Askari, Suzan Verberne, Amin Abolghasemi +2

Retrieval with extremely long queries and documents is a well-known and challenging task in information retrieval and is commonly known as Query-by-Document (QBD) retrieval. Specif…

cs.IR2022

UNIMIB at TREC 2021 Clinical Trials Track

Georgios Peikos, Oscar Espitia, Gabriella Pasi

This contribution summarizes the participation of the UNIMIB team to the TREC 2021 Clinical Trials Track. We have investigated the effect of different query representations combine…

cs.IR2022★ 1 cited

LeiBi@COLIEE 2022: Aggregating Tuned Lexical Models with a Cluster-driven BERT-based Model for Case Law Retrieval

Arian Askari, Georgios Peikos, Gabriella Pasi +1

This paper summarizes our approaches submitted to the case law retrieval task in the Competition on Legal Information Extraction/Entailment (COLIEE) 2022. Our methodology consists…

cs.IR2022★ 2 cited

Expert Finding in Legal Community Question Answering

Arian Askari, Suzan Verberne, Gabriella Pasi

Expert finding has been well-studied in community question answering (QA) systems in various domains. However, none of these studies addresses expert finding in the legal domain, w…

cs.AI2021

Answering Fuzzy Queries over Fuzzy DL-Lite Ontologies

Gabriella Pasi, Rafael Peñaloza

A prominent problem in knowledge representation is how to answer queries taking into account also the implicit consequences of an ontology representing domain knowledge. While this…

cs.CY2020★ 10 cited

Information Credibility in the Social Web: Contexts, Approaches, and Open Issues

Gabriella Pasi, Marco Viviani

In the Social Web scenario, large amounts of User-Generated Content (UGC) are diffused through social media often without almost any form of traditional trusted intermediaries. The…

cs.PL2017★ 1 cited

Lattice Operations on Terms over Similar Signatures

Hassan Aït-Kaci, Gabriella Pasi

Unification and generalization are operations on two terms computing respectively their greatest lower bound and least upper bound when the terms are quasi-ordered by subsumption u…