Document-to-document relevance assessment for TREC Genomics Track 2005

Medientyp: Elektronischer Konferenzbericht
Titel: Document-to-document relevance assessment for TREC Genomics Track 2005
Beteiligte: Giraldo, Olga [Verfasser:in]; Cadena, María Fernanda [Verfasser:in]; Robayo-Gama, Andrea [Verfasser:in]; Solanki, Dhwani [Verfasser:in]; Fellerhoff, Tim [Verfasser:in]; Geist, Lukas [Verfasser:in]; Ravinder, Rohitha [Verfasser:in]; Talha, Muhammad [Verfasser:in]; Rebholz-Schuhmann, Dietrich [Verfasser:in]; Castro, Leyla Jael [Verfasser:in]
Erschienen: Hochschule Bonn-Rhein-Sieg, 2023-06-22
Erschienen in: Proceedings Semantic Web Applications and Tools for Healthcare and Life Sciences, February 13–16, 2023, Basel, Switzerland ; ISSN 1613-0073
Sprache: Englisch
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Anmerkungen: Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
Beschreibung: Here we present a doc-2-doc relevance assessment performed on a subset of the TREC Genomics Track 2005 collection. Our approach includes an experimental set up to manually assess doc-2-doc relevance and the corresponding analysis done on the results obtained from this experiment. The experiment takes one document as a reference and assesses a second document regarding its relevance to the reference one. The consistency of the assessments done by 4 domain experts was evaluated. The lack of agreement between annotators may be due to: i) The abstract lacks key information and/or ii) Lack of experience of the annotators in the evaluation of some topics.
Zugangsstatus: Freier Zugang
Rechte-/Nutzungshinweise: Namensnennung (CC BY)

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