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

Falke, Tobias and Gurevych, Iryna :
GraphDocExplore: A Framework for the Experimental Comparison of Graph-based Document Exploration Techniques.
[Online-Edition: http://aclweb.org/anthology/D17-2004]
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP): System Demonstrations
[Conference or Workshop Item] , (2017)

Official URL: http://aclweb.org/anthology/D17-2004

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.

Item Type: Conference or Workshop Item
Erschienen: 2017
Creators: Falke, Tobias and Gurevych, Iryna
Title: GraphDocExplore: A Framework for the Experimental Comparison of Graph-based Document Exploration Techniques
Language: English
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.

Title of Book: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP): System Demonstrations
Uncontrolled Keywords: UKP_reviewed;AIPHES_area_b1
Divisions: Department of Computer Science
Department of Computer Science > Ubiquitous Knowledge Processing
DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Research Training Group 1994 Adaptive Preparation of Information from Heterogeneous Sources
Event Location: Copenhagen, Denmark
Date Deposited: 04 Jul 2017 14:20
Official URL: http://aclweb.org/anthology/D17-2004
Identification Number: TUD-CS-2017-0154
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