Workshop on Explainability in Information Retrieval
Maria Heuss (Universiteit van Amsterdam)
Catherine Chen (Brown University)
Avishek Anand (TU Delft - Web Information Systems)
Carsten Eickhoff (Eberhard Karls Universität Tübingen)
Suzan Verberne (Universiteit Leiden)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
As models grow more complex and societal demands for transparency increase with emerging regulations, explainability has become an even more important research area. However, despite its recognized relevance, explainability research in IR has seen slower progress than in related fields. This full day workshop aims to advance research in explainable information retrieval by providing a more in-depth platform to reflect on recent developments and facilitate discussions to address new and persistent challenges. Our goal is to bring together a diverse group of researchers to build a shared understanding of key tasks and challenges that will lay the foundation for the future of explainable IR research.
help_outline