The research field of Information Retrieval (IR) has evolved significantly, expanding beyond
traditional search to meet diverse user information needs. Recently, Large Language …

A table is composed of data values that are organized in rows and columns providing
implicit structural information. A table is usually accompanied by secondary information such …

Federated search systems aggregate results from multiple search engines, selecting
appropriate sources to enhance result quality and align with user intent. With the increasing …

The COVID-19 pandemic impacted the mood of the people, and this was evident on social
networks. These common user publications are a source of information to measure the …

Entity matching (EM) identifies data records that refer to the same real-world entity. Despite
the effort in the past years to improve the performance in EM, the existing methods still …

Learning to Rank (L2R) methods that utilize machine learning techniques to solve the
ranking problems have been widely studied in the field of information retrieval. Existing …

Contextualised word vectors obtained via pre-trained language models encode a variety of
knowledge that has already been exploited in applications. Complementary to these …

Teachers and students are increasingly relying on online learning resources to supplement
the ones provided in school. This increase in the breadth and depth of available resources is …

Literature retrieval helps scientists find previous work that is relative to their own research or
even get new research ideas. However, the discrepancy between retrieval results and the …

Document retrieval has always been a crucial problem in Web search. Recent works
leverage pre-trained language models to represent documents in dense vectors. However …