NLP Library

J. Bigert, Sjöbergh, J., Knutsson, O., and Sahlgren, M., “Unsupervised Evaluation of Parser Robustness”, in Computational Linguistics and Intelligent Text Processing, vol. 3406, A. Gelbukh Berlin / Heidelberg: Springer, 2005, pp. 142-154.

C. Biemann, “Unsupervised Part-of-Speech Tagging”, in Structure Discovery in Natural Language, Berlin / Heidelberg: Springer, 2012, pp. 113-144.

N. Afzal, Mitkov, R., and Farzindar, A., “Unsupervised Relation Extraction Using Dependency Trees for Automatic Generation of Multiple-Choice Questions”, in Advances in Artificial Intelligence, vol. 6657, C. Butz and Lingras, P. Berlin / Heidelberg: Springer , 2011, pp. 32-43.

A. Pareja-Lora, “Using ontologies to interlink linguistic annotations and improve their accuracy”, in New perspectives on teaching and working with languages in the digital era, A. Pareja-Lora, Calle-Martínez, C., and Rodríguez-Arancón, P. Research-publishing.net, 2016, pp. 351-362.

S. Yoo, Gates, D., Levin, L., Fung, S., Agarwal, S., and Freed, M., “Using Semantic Features to Improve Task Identification in Email Messages”, in Natural Language and Information Systems, vol. 5039, E. Kapetanios, Sugumaran, V., and Spiliopoulou, M. Berlin / Heidelberg: Springe, 2008, pp. 355-357.

M. Creutz, “Unsupervised segmentation of words using prior distributions of morph length and frequency”, in ACL’03, 2003, pp. 280–287.

T. Lahtinen, “The Use of an Index Term Corpus for the Development of an Automatic Indexer”, in Computational linguistics in the Netherlands, 1997.

M. Morneau, Mineau, G. W., and Corbett, D., “Using an automatically generated ontology to improve information retrieval”, in First Conceptual Structures Tool Interoperability Workshop (CS-TIW 2006), Aalborg, Denmark, 2006.

S. Štajner and Mitkov, R., “Using Comparable Corpora to Track Diachronic and Synchronic Changes in Lexical Density and Lexical Richness”, in The 5th Workshop on Building and Using Comparable Corpora, Istanbul, Turkey, 2012.

T. Ruokolainen, Alumäe, T., and Dobrinkat, M., “Using Dependency Grammar Features in Whole Sentence Maximum Entropy Language Model for Speech Recognition”, in The Fourth International Conference Baltic HLT 2010, Amsterdam, The Netherlands, 2010, pp. 73–79.

S. Wan, Dras, M., Dale, R., and Paris, C., “Using Dependency-Based Features to Take the 'Para-farce' out of Paraphrase”, in Proceedings of the Australasian Language Technology Workshop 2006, Sydney, Australia, 2006, pp. 131-138.

R. Kongkachandra and Chamnongthai, K., “Using linguistics information for improving the sentence-based semantic relatedness measurement”, in ISCIT 2007 - 2007 International Symposium on Communications and Information Technologies, Sydney, NSW, 2007, pp. 1372-1376.

J. Foo and Merkel, M., “Using machine learning to perform automatic term recognition”, in LREC 2010, Valletta, Malta, 2010.

P. P. Tuominen, “Using Rule-Based Natural Language Processing in Customer Experience Development”, in eCHRIE, 2013.

J. Makkonen and Ahonen-Myka, H., “Utilizing Temporal Information in Topic Detection And Tracking”, in Research and Advanced Technology for Digital Libraries, 7th European Conference, ECDL 2003, Trondheim, Norway, 2003, pp. 393–404.

O. Täckström, Velupillai, S., Hassel, M., Dalianis, H., and Karlgren, J., “Uncertainty Detection as Approximate Max-Margin Sequence Labelling”. 2010.

E. Bick, “The use of semantic prototypes in semantic role annotation”. 2009.

K. Jokinen, “User Expertise and Interaction Modelling for Spoken Dialogue Systems”. 2005.

B. J. Dorr, Habash, N. Y., and Monz, C., “Use of Minimal Lexical Conceptual Structures for Single-Document Summarization”, Institute for Advanced Computer Studies, University of Maryland, College Park, MD, LAMP-TR-113 / CAR-TR-997 / CS-TR-4596 / UMIACS-TR-2004-39, 2004.

A. Arppe, “Univariate, bivariate, and multivariate methods in corpus-based lexicography : A study of synonymy”, University of Helsinki, Helsinki, 2008.

N. Afzal, “Unsupervised relation extraction for e-learning applications ”, University of Wolverhampton, Wolverhampton, 2012.