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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
Conference or Workshop Item, Bibliographie

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 ; Gurevych, Iryna
Type of entry: Bibliographie
Title: GraphDocExplore: A Framework for the Experimental Comparison of Graph-based Document Exploration Techniques
Language: English
Date: September 2017
Book Title: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP): System Demonstrations
Event Location: Copenhagen, Denmark
URL / URN: http://aclweb.org/anthology/D17-2004
Corresponding Links:
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.

Uncontrolled Keywords: UKP_reviewed;AIPHES_area_b1
Identification Number: TUD-CS-2017-0154
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Research Training Group 1994 Adaptive Preparation of Information from Heterogeneous Sources
Date Deposited: 04 Jul 2017 14:20
Last Modified: 24 Jan 2020 12:03
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