@InProceedings{mohanty-EtAl:2016:WLSI-OIAF4HLT2016,
  author    = {Mohanty, Sharada  and  Wani, Nehal J  and  Srivastava, Manish  and  Sharma, Dipti},
  title     = {Kathaa : NLP Systems as Edge-Labeled Directed Acyclic MultiGraphs},
  booktitle = {Proceedings of the Third International Workshop on Worldwide Language Service Infrastructure and Second Workshop on Open Infrastructures and Analysis Frameworks for Human Language Technologies (WLSI/OIAF4HLT2016)},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {1--10},
  abstract  = {We present Kathaa, an Open Source web-based Visual Programming Framework for
	Natural Language Processing (NLP) Systems. Kathaa supports the design,
	execution and analysis of complex NLP systems by visually connecting NLP
	components from an easily extensible Module Library. It models NLP systems an
	edge-labeled Directed Acyclic MultiGraph, and lets the user use publicly
	co-created modules in their own NLP applications irrespective of their
	technical proficiency in Natural Language Processing. Kathaa exposes an
	intuitive web based Interface for the users to interact with and modify complex
	NLP Systems; and a precise Module definition API to allow easy integration of
	new state of the art NLP components. Kathaa enables researchers to publish
	their services in a standardized format to enable the masses to use their
	services out of the box. The vision of this work is to pave the way for a
	system like Kathaa, to be the Lego blocks of NLP Research and Applications. As
	a practical use case we use Kathaa to visually implement the Sampark
	Hindi-Panjabi Machine Translation Pipeline and the Sampark Hindi-Urdu Machine
	Translation Pipeline, to demonstrate the fact that Kathaa can handle really
	complex NLP systems while still being intuitive for the end user.},
  url       = {http://aclweb.org/anthology/W16-5201}
}