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20172024
most citedORCAS-I: Queries Annotated with Intent using Weak Supervision

18 citations · 64 across the 12 of their papers we have counts for

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7 papers · 1 filter

cs.IR2024★ 16 cited

A Reproducibility and Generalizability Study of Large Language Models for Query Generation

Moritz Staudinger, Wojciech Kusa, Florina Piroi +2

Systematic literature reviews (SLRs) are a cornerstone of academic research, yet they are often labour-intensive and time-consuming due to the detailed literature curation process.…

cs.IR2023★ 7 cited

CRUISE-Screening: Living Literature Reviews Toolbox

Wojciech Kusa, Petr Knoth, Allan Hanbury

Keeping up with research and finding related work is still a time-consuming task for academics. Researchers sift through thousands of studies to identify a few relevant ones. Autom…

cs.IR2023★ 1 cited

Effective Matching of Patients to Clinical Trials using Entity Extraction and Neural Re-ranking

Wojciech Kusa, Óscar E. Mendoza, Petr Knoth +2

Clinical trials (CTs) often fail due to inadequate patient recruitment. This paper tackles the challenges of CT retrieval by presenting an approach that addresses the patient-to-tr…

cs.IR2023★ 6 cited

Outcome-based Evaluation of Systematic Review Automation

Wojciech Kusa, Guido Zuccon, Petr Knoth +1

Current methods of evaluating search strategies and automated citation screening for systematic literature reviews typically rely on counting the number of relevant and not relevan…

cs.IR2023★ 1 cited

Statute-enhanced lexical retrieval of court cases for COLIEE 2022

Tobias Fink, Gabor Recski, Wojciech Kusa +1

We discuss our experiments for COLIEE Task 1, a court case retrieval competition using cases from the Federal Court of Canada. During experiments on the training data we observe th…

cs.IR2022★ 18 cited

ORCAS-I: Queries Annotated with Intent using Weak Supervision

Daria Alexander, Wojciech Kusa, Arjen P. de Vries

User intent classification is an important task in information retrieval. In this work, we introduce a revised taxonomy of user intent. We take the widely used differentiation betw…