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 |
| Zugehörige Links: | |
| 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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| Suche nach Titel in: | TUfind oder in Google |
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