Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-ranking Results

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 o...

Descripción completa

Detalles Bibliográficos
Autores principales: Hofstätter, Sebastian, Zlabinger, Markus, Hanbury, Allan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148052/
http://dx.doi.org/10.1007/978-3-030-45442-5_58
_version_ 1783520520685223936
author Hofstätter, Sebastian
Zlabinger, Markus
Hanbury, Allan
author_facet Hofstätter, Sebastian
Zlabinger, Markus
Hanbury, Allan
author_sort Hofstätter, Sebastian
collection PubMed
description 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/.
format Online
Article
Text
id pubmed-7148052
institution National Center for Biotechnology Information
language English
publishDate 2020
record_format MEDLINE/PubMed
spelling pubmed-71480522020-04-13 Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-ranking Results Hofstätter, Sebastian Zlabinger, Markus Hanbury, Allan Advances in Information Retrieval Article 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/. 2020-03-24 /pmc/articles/PMC7148052/ http://dx.doi.org/10.1007/978-3-030-45442-5_58 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Hofstätter, Sebastian
Zlabinger, Markus
Hanbury, Allan
Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-ranking Results
title Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-ranking Results
title_full Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-ranking Results
title_fullStr Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-ranking Results
title_full_unstemmed Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-ranking Results
title_short Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-ranking Results
title_sort neural-ir-explorer: a content-focused tool to explore neural re-ranking results
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148052/
http://dx.doi.org/10.1007/978-3-030-45442-5_58
work_keys_str_mv AT hofstattersebastian neuralirexploreracontentfocusedtooltoexploreneuralrerankingresults
AT zlabingermarkus neuralirexploreracontentfocusedtooltoexploreneuralrerankingresults
AT hanburyallan neuralirexploreracontentfocusedtooltoexploreneuralrerankingresults

Ejemplares similares