This paper provides an extensive and thorough overview of the models and techniques
utilized in the first and second stages of the typical information retrieval processing chain …

We study the problem of retrieval with instructions, where users of a retrieval system
explicitly describe their intent along with their queries. We aim to develop a general-purpose …

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

Adverse phenomena such as the search engine manipulation effect (SEME), where web
search users change their attitude on a topic following whatever most highly-ranked search …

This paper is a condensed report on the third year of the Touché lab on argument retrieval
held at CLEF 2022. With the goal to foster and support the development of technologies for …

The study of argumentation is transversal to several research domains, from philosophy to
linguistics, from the law to computer science and artificial intelligence. In discourse analysis …

The zero-shot effectiveness of neural retrieval models is often evaluated on the BEIR
benchmark---a combination of different IR evaluation datasets. Interestingly, previous …

Sparse document representations have been widely used to retrieve relevant documents via
exact lexical matching. Owing to the pre-computed inverted index, it supports fast ad-hoc …

This paper is a condensed overview of Touché: the fourth edition of the lab on argument and
causal retrieval that was held at CLEF 2023. With the goal to create a collaborative platform …

Argumentation analysis is a field of computational linguistics that studies methods for
extracting arguments from texts and the relationships between them, as well as building …