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 …

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 …

Conversational search plays a vital role in conversational information seeking. As queries in
information seeking dialogues are ambiguous for traditional ad hoc information retrieval (IR) …

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 …

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 …

Person re-identification (re-ID) is commonly investigated as a ranking problem. However, the
performance of existing re-ID models drops dramatically, when they encounter extreme …

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 …

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 evaluate the …

Abstract System-oriented IR evaluations are limited to rather abstract understandings of real
user behavior. As a solution, simulating user interactions provides a cost-efficient way to …

Dense retrieval has made significant advancements in information retrieval (IR) by achieving
high levels of effectiveness while maintaining online efficiency during a single-pass retrieval …