@InProceedings{guillen-gutierrez-munoz:2017:RANLP,
  author    = {Guill\'{e}n, Antonio  and  Guti\'{e}rrez, Yoan  and  Mu\~{n}oz, Rafael},
  title     = {Natural Language Processing Technologies for Document Profiling},
  booktitle = {Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017},
  month     = {September},
  year      = {2017},
  address   = {Varna, Bulgaria},
  publisher = {INCOMA Ltd.},
  pages     = {284--290},
  abstract  = {Nowadays, search for documents on the Internet is becoming increasingly
	difficult. The reason is the amount of content published by users (articles,
	comments, blogs, reviews). How to facilitate that the users can find their
	required documents? What would be necessary to provide useful document
	meta-data for supporting search engines? In this article, we present a study of
	some Natural Language Processing (NLP) technologies that can be useful for
	facilitating the proper identification of documents according to the user
	needs. For this purpose, it is designed a document profile that will be able to
	represent semantic meta-data extracted from documents by using NLP
	technologies. The research is basically focused on the study of different NLP
	technologies in order to support the creation our novel document profile
	proposal from semantic perspectives.},
  url       = {https://doi.org/10.26615/978-954-452-049-6_039}
}