@InProceedings{klang-nugues:2016:COLINGDEMO,
  author    = {Klang, Marcus  and  Nugues, Pierre},
  title     = {Langforia: Language Pipelines for Annotating Large Collections of Documents},
  booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {74--78},
  abstract  = {In this paper, we describe \textbf{Langforia}, a multilingual processing
	pipeline to annotate texts with multiple layers: formatting, parts of speech,
	named entities, dependencies, semantic roles, and entity links. Langforia works
	as a web service, where the server hosts the language processing components and
	the client, the input and result visualization. To annotate a text or a
	Wikipedia page, the user chooses an NLP pipeline and enters the text in the
	interface or selects the page URL. Once processed, the results are returned to
	the client, where the user can select the annotation layers s/he wants to
	visualize. 
	We designed Langforia with a specific focus for Wikipedia, although it can
	process any type of text. Wikipedia has become an essential encyclopedic corpus
	used in many NLP projects. However, processing articles and visualizing the
	annotations are nontrivial tasks that require dealing with multiple markup
	variants, encodings issues, and tool incompatibilities across the language
	versions. This motivated the development of a new architecture.
	A demonstration of Langforia is available for six languages: English, French,
	German, Spanish, Russian, and Swedish at \url{http://vilde.cs.lth.se:9000/} as
	well as a web API: \url{http://vilde.cs.lth.se:9000/api}. Langforia is also
	provided as a standalone library and is compatible with cluster computing.},
  url       = {http://aclweb.org/anthology/C16-2016}
}