27 citations · 69 across the 20 of their papers we have counts for
5 papers · 1 filter
On the Interpolation of Contextualized Term-based Ranking with BM25 for Query-by-Example Retrieval
Amin Abolghasemi, Arian Askari, Suzan Verberne
Term-based ranking with pre-trained transformer-based language models has recently gained attention as they bring the contextualization power of transformer models into the highly…
Academic information retrieval using citation clusters: In-depth evaluation based on systematic reviews
Juan Pablo Bascur, Suzan Verberne, Nees Jan van Eck +1
The field of scientometrics has shown the power of citation-based clusters for literature analysis, yet this technique has barely been used for information retrieval tasks. This wo…
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…
Improving BERT-based Query-by-Document Retrieval with Multi-Task Optimization
Amin Abolghasemi, Suzan Verberne, Leif Azzopardi
Query-by-document (QBD) retrieval is an Information Retrieval task in which a seed document acts as the query and the goal is to retrieve related documents -- it is particular comm…
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…