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NLP Library

Found 463 results
[ Author(Asc)] Title Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
A
Ahrenberg L.  2010.  Clause Restructuring in English-Swedish Translation. Workshop on Annotation and Exploitation of Parallel Corpora AEPC 2010. :34-43.
Ahrenberg L.  2007.  LinES: An English-Swedish Parallel Treebank. 16th Nordic Conference of Computational Linguistics Nodalida. :270-273.
Ahrenberg L, Holmqvist M.  2005.  Back to the future? the case for english-swedish direct machine translation Recent Advances in Scandinavian Machine Translation.
Ahrenberg L, Holmqvist M.  2004.  Back to the Future: The Case for Direct English-Swedish MT. RASMAT workshop.
Aguirre R, Nyerges T.  2011.  Geovisual evaluation of public participation in decision making: The grapevine. Journal of Visual Languages & Computing. 22:305-321.
Aguado de Cea G, Álvarez-de-Mon I, Pareja-Lora A, Plaza-Arteche R.  2002.  RDF(S)/XML linguistic annotation of semantic web pages. Proceedings of the 2nd workshop on NLP and XML. 17
Aguado de Cea G, Puche Alosete J, Ramos JA.  2008.  Tagging Spanish Texts: the Problem of ‘se’. Language Resources and Evaluation (LREC).
Afzal N, Mitkov R, Farzindar A.  2011.  Unsupervised Relation Extraction Using Dependency Trees for Automatic Generation of Multiple-Choice Questions. Advances in Artificial Intelligence. 6657:32-43.
Afzal N.  2012.  Unsupervised relation extraction for e-learning applications . Doctor of Philosophy
Abu Sheikha F, Inkpen D.  2012.  Learning to Classify Documents According to Formal and Informal Style. Linguistic Issues in Language Technology. 8(1)
Abu Sheikha F, Inkpen D.  2010.  Automatic classification of documents by formality. International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE).
Abu Sheikha F, Inkpen D.  2010.  Learning to Classify Medical Documents According to Formal and Informal Style. Workshop on Intelligent Methods for Protecting Privacy and Confidentiality in Data.
Abels S, Hahn A.  2005.  Pre-processing text for web information retrieval purposes by splitting compounds into their morphemes. Open Source Web Information Retrieval (OSWIR).

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