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

We describe a static, open-access news corpus using data from the Common Crawl
Foundation, who provide free, publicly available web archives, including a continuous crawl …

This paper explores the utility of a Large Language Model (LLM) to automatically generate
queries and query variants from a description of an information need. Given a set of …

Heavily pre-trained transformers for language modeling, such as BERT, have shown to be
remarkably effective for Information Retrieval (IR) tasks, typically applied to re-rank the …

Query performance prediction (QPP) methods, which aim to predict the performance of a
query, often rely on evidences in the form of different characteristic patterns in the …

Abstract Query Performance Prediction (QPP) has been studied extensively in the IR
community over the last two decades. A by-product of this research is a methodology to …

Evidence-based healthcare integrates the best research evidence with clinical expertise in
order to make decisions based on the best practices available. In this context, the task of …

When conducting systematic reviews, medical researchers heavily deliberate over the final
query to pose to the information retrieval system. Given the possible query variations that …

Where do queries--the words searchers type into a search box--come from? The Information
Retrieval community understands the performance of queries and search engines …

Information retrieval systems aim to help users satisfy information needs. We argue that the
goal of the person using the system, and the pattern of behavior that they exhibit as they …