In IR, explainability was initially used to explain the retrieval output to a non-IR expert. ExIR can be broadly categorized into three ar- eas. They are post-hoc explanations, grounding to IR properties, or methods that are interpretable by design [2].
Jul 23, 2023
Nov 4, 2022 · Title:Explainable Information Retrieval: A Survey ... Abstract:Explainable information retrieval is an emerging research area aiming to make ...
Jul 18, 2023 · Abstract. This tutorial presents explainable information retrieval (ExIR), an emerging area focused on fostering responsible and trustworthy ...
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Nov 4, 2022 · Explainable information retrieval is an emerging research area aiming to make transparent and trustworthy information retrieval systems. Given ...
Jul 5, 2024 · To facilitate practical understanding, we will provide a hands-on session on applying ExIR methods, reducing the entry barrier for students, ...
Explainability in Transparent Information Retrieval Systems. Jerome Ramos, ScB,1 Carsten Eickhoff, PhD1,2. 1Department of Computer Science, Brown ...
Dec 31, 2022 · This tutorial presents explainable information retrieval (ExIR), an emerging area focused on fostering responsible and trustworthy ...
This tutorial presents explainable information retrieval (ExIR), an emerging area focused on fostering responsible and trustworthy deployment of machine ...
Comments and Reviews. (0) ... What is BibSonomy? ... BibSonomy is offered by the Data Science Chair of the University of Würzburg, the Information Processing and ...
provides the black box explanations for neural networks with the help of contextual importance utility [25][27]. Page 5. Explainable Information Retrieval using ...