The goal of text ranking is to generate an ordered list of texts retrieved from a corpus in
response to a query. Although the most common formulation of text ranking is search …

TREC-COVID is a community evaluation designed to build a test collection that captures the
information needs of biomedical researchers using the scientific literature during a …

Clinical information retrieval (IR) plays a vital role in modern healthcare by facilitating
efficient access and analysis of medical literature for clinicians and researchers. This …

We present an overview of the TREC-COVID Challenge, an information retrieval (IR) shared
task to evaluate search on scientific literature related to COVID-19. The goals of TREC …

Managing the data for Information Retrieval (IR) experiments can be challenging. Dataset
documentation is scattered across the Internet and once one obtains a copy of the data …

TREC-COVID is an information retrieval (IR) shared task initiated to support clinicians and
clinical research during the COVID-19 pandemic. IR for pandemics breaks many normal …

We integrate irdatasets, ir_measures, and PyTerrier with TIRA in the Information Retrieval
Experiment Platform (TIREx) to promote more standardized, reproducible, scalable, and …

Systematic literature reviews (SLRs) play an essential role in summarising, synthesising and
validating scientific evidence. In recent years, there has been a growing interest in using …

Objectives: Owing to the rapid progress of natural language processing (NLP), the role of
NLP in the medical field has radically gained considerable attention from both NLP and …

Click logs are valuable resources for a variety of information retrieval (IR) tasks. This
includes query understanding/analysis, as well as learning effective IR models particularly …