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GraphDocExplore: A Framework for the Experimental Comparison of Graph-based Document Exploration Techniques

Falke, Tobias ; Gurevych, Iryna (2017)
GraphDocExplore: A Framework for the Experimental Comparison of Graph-based Document Exploration Techniques.
Copenhagen, Denmark
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Graphs have long been proposed as a tool to browse and navigate in a collection of documents in order to support exploratory search. Many techniques to automatically extract different types of graphs, showing for example entities or concepts and different relationships between them, have been suggested. While experimental evidence that they are indeed helpful exists for some of them, it is largely unknown which type of graph is most helpful for a specific exploratory task. However, carrying out experimental comparisons with human subjects is challenging and time-consuming. Towards this end, we present the GraphDocExplore framework. It provides an intuitive web interface for graph-based document exploration that is optimized for experimental user studies. Through a generic graph interface, different methods to extract graphs from text can be plugged into the system. Hence, they can be compared at minimal implementation effort in an environment that ensures controlled comparisons. The system is publicly available under an open-source license.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2017
Autor(en): Falke, Tobias ; Gurevych, Iryna
Art des Eintrags: Bibliographie
Titel: GraphDocExplore: A Framework for the Experimental Comparison of Graph-based Document Exploration Techniques
Sprache: Englisch
Publikationsjahr: September 2017
Buchtitel: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP): System Demonstrations
Veranstaltungsort: Copenhagen, Denmark
URL / URN: http://aclweb.org/anthology/D17-2004
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Kurzbeschreibung (Abstract):

Graphs have long been proposed as a tool to browse and navigate in a collection of documents in order to support exploratory search. Many techniques to automatically extract different types of graphs, showing for example entities or concepts and different relationships between them, have been suggested. While experimental evidence that they are indeed helpful exists for some of them, it is largely unknown which type of graph is most helpful for a specific exploratory task. However, carrying out experimental comparisons with human subjects is challenging and time-consuming. Towards this end, we present the GraphDocExplore framework. It provides an intuitive web interface for graph-based document exploration that is optimized for experimental user studies. Through a generic graph interface, different methods to extract graphs from text can be plugged into the system. Hence, they can be compared at minimal implementation effort in an environment that ensures controlled comparisons. The system is publicly available under an open-source license.

Freie Schlagworte: UKP_reviewed;AIPHES_area_b1
ID-Nummer: TUD-CS-2017-0154
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung
DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Graduiertenkolleg 1994 Adaptive Informationsaufbereitung aus heterogenen Quellen
Hinterlegungsdatum: 04 Jul 2017 14:20
Letzte Änderung: 24 Jan 2020 12:03
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