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Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-Ranking Results
December 10, 2019 Β· Declared Dead Β· π European Conference on Information Retrieval
"No code URL or promise found in abstract"
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Authors
Sebastian HofstΓ€tter, Markus Zlabinger, Allan Hanbury
arXiv ID
1912.04713
Category
cs.IR: Information Retrieval
Citations
5
Venue
European Conference on Information Retrieval
Last Checked
4 months ago
Abstract
In this paper we look beyond metrics-based evaluation of Information Retrieval systems, to explore the reasons behind ranking results. We present the content-focused Neural-IR-Explorer, which empowers users to browse through retrieval results and inspect the inner workings and fine-grained results of neural re-ranking models. The explorer includes a categorized overview of the available queries, as well as an individual query result view with various options to highlight semantic connections between query-document pairs. The Neural-IR-Explorer is available at: https://neural-ir-explorer.ec.tuwien.ac.at/
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