@InProceedings{falke-gurevych:2017:EMNLP2017Demos,
  author    = {Falke, Tobias  and  Gurevych, Iryna},
  title     = {GraphDocExplore: A Framework for the Experimental Comparison of Graph-based Document Exploration Techniques},
  booktitle = {Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {19--24},
  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
	\textit{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.},
  url       = {http://www.aclweb.org/anthology/D17-2004}
}