Using NLP Techniques for Tagging Events in Arabic Text

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19th IEEE International Conference on Tools with Artificial Intelligence - Vol.2 (ICTAI 2007)

Paris, France

October 29-October 31

ISBN: 0-7695-3015-X

	ASCII Text	x
	Saleem Abuleil, "Using NLP Techniques for Tagging Events in Arabic Text," Tools with Artificial Intelligence, IEEE International Conference on, vol. 2, pp. 440-443, 19th IEEE International Conference on Tools with Artificial Intelligence - Vol.2 (ICTAI 2007), 2007.

	BibTex	x
	@article{ 10.1109/ICTAI.2007.179, author = {Saleem Abuleil}, title = {Using NLP Techniques for Tagging Events in Arabic Text}, journal ={Tools with Artificial Intelligence, IEEE International Conference on}, volume = {2}, year = {2007}, issn = {1082-3409}, pages = {440-443}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICTAI.2007.179}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Tools with Artificial Intelligence, IEEE International Conference on TI - Using NLP Techniques for Tagging Events in Arabic Text SN - 1082-3409 SP440 EP443 A1 - Saleem Abuleil, PY - 2007 VL - 2 JA - Tools with Artificial Intelligence, IEEE International Conference on ER -

Saleem Abuleil

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICTAI.2007.179

In any text Events represent a rich source of information, such as proper names that specify the people, organizations, locations, etc., that participate in the event, dates that specify the time of the event, noun phrases that describe the event, and keywords that indicate that an interesting event has occurred. In this paper our focus is on those elements in terms of how we use natural language processing techniques to capture, analyze and identify the role each element plays in the event and understand how they are linked to form events as well as how they form the relationships between related events.

Citation:

Saleem Abuleil, "Using NLP Techniques for Tagging Events in Arabic Text," ictai, vol. 2, pp.440-443, 19th IEEE International Conference on Tools with Artificial Intelligence - Vol.2 (ICTAI 2007), 2007

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