21 citations · 51 across the 10 of their papers we have counts for
7 papers · 1 filter
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…
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…
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…
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…
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…
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…
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…