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A Lightweight Framework for Reproducible Parameter Sweeping in Information Retrieval

Eckart de Castilho, Richard ; Gurevych, Iryna
Hrsg.: Agosti, Maristella ; Ferro, Nicola ; Thanos, Costantino (2011)
A Lightweight Framework for Reproducible Parameter Sweeping in Information Retrieval.
Glasgow, Scotland, UK
doi: 10.1145/2064227.2064248
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Information retrieval experiments consist of multiple tasks, such as preprocessing and evaluation, each subject to various parameters affecting their results. Dependencies between tasks exist such that one task may have to use the output of another. Many scientific workflow systems come with sophisticated graphical authoring tools but do not integrate well with integrated development environments used for programming. The framework for dataflow-based parameter sweeping experiments introduced in this paper is lightweight, provides support for declaratively setting up experiments, and integrates seamlessly with Java-based development environments. To reduce the computational effort of running an experiment with many different parameter settings, the framework uses dataflow dependency information to maintain and reuse intermediate results.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2011
Herausgeber: Agosti, Maristella ; Ferro, Nicola ; Thanos, Costantino
Autor(en): Eckart de Castilho, Richard ; Gurevych, Iryna
Art des Eintrags: Bibliographie
Titel: A Lightweight Framework for Reproducible Parameter Sweeping in Information Retrieval
Sprache: Englisch
Publikationsjahr: 2011
Verlag: ACM
Buchtitel: Proceedings of the 2011 workshop on Data infrastructurEs for supporting information retrieval evaluation
Reihe: DESIRE '11
Veranstaltungsort: Glasgow, Scotland, UK
DOI: 10.1145/2064227.2064248
URL / URN: https://dl.acm.org/citation.cfm?id=2064227.2064248
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Kurzbeschreibung (Abstract):

Information retrieval experiments consist of multiple tasks, such as preprocessing and evaluation, each subject to various parameters affecting their results. Dependencies between tasks exist such that one task may have to use the output of another. Many scientific workflow systems come with sophisticated graphical authoring tools but do not integrate well with integrated development environments used for programming. The framework for dataflow-based parameter sweeping experiments introduced in this paper is lightweight, provides support for declaratively setting up experiments, and integrates seamlessly with Java-based development environments. To reduce the computational effort of running an experiment with many different parameter settings, the framework uses dataflow dependency information to maintain and reuse intermediate results.

Freie Schlagworte: UKP_p_DARIAHDE;UKP_a_LangTech4eHum;UKP_p_DKPro;UKP_s_DKPro_Lab;Dataflow, Information Retrieval, Workflow
ID-Nummer: TUD-CS-2011-0215
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung
Hinterlegungsdatum: 31 Dez 2016 14:29
Letzte Änderung: 24 Jan 2020 12:03
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