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Found 463 results
Author [ Title(Desc)] Type Year
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L. A. Ha, Learning description of term patterns using glossary resources., in The Third International Conference on Language Resources and Evaluation (LREC), Las Palmas, Canary Islands, Spain, 2002.
J. Lee, Neviarouskaya, A., Prendinger, H., and Marsella, S., Learning Models of Speaker Head Nods with Affective Information, in 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops (ACII 2009), Amsterdam, 2009, pp. 1-6.
D. Mollá, Learning of graph-based question answering rules, in First Workshop on Graph Based Methods for Natural Language Processing, New York City, NY, 2006, pp. 37–44.
F. Abu Sheikha and Inkpen, D., Learning to Classify Documents According to Formal and Informal Style, Linguistic Issues in Language Technology, vol. 8, no. 1, 2012.
F. Abu Sheikha and Inkpen, D., Learning to Classify Medical Documents According to Formal and Informal Style, in Workshop on Intelligent Methods for Protecting Privacy and Confidentiality in Data, Ottawa, Canada, 2010.
M. Salmenkivi, Pulkkinen, R., and Tuominen, H., Leksikaalisten ja syntaktisten nimenosien yleisyydestä ja levinneisyydestä peruskartan paikannimistössä, Virittäjä, no. 116, pp. 190–228, 2006.
T. Copeck, Inkpen, D., Kazantseva, A., Kennedy, A., Kipp, D., Nastase, V., and Szpakowicz, S., Leveraging DUC, in Document Understanding Conference (DUC), 2006.
E. Hyvönen, Alonen, M., Ikkala, E., and Mäkelä, E., Life Stories as Event-based Linked Data: Case Semantic National Biography, in 13th International Semantic Web Conference (ISWC 2014), Riva del Garda, Italy, 2014.
L. Ahrenberg, LinES: An English-Swedish Parallel Treebank, in 16th Nordic Conference of Computational Linguistics Nodalida, Tartu, Estonia, 2007, pp. 270-273.
L. Ahrenberg, LinES: Linköping English-Swedish Parallel Treebank. 2007.
A. Arppe, Linguistic choices vs. probabilities – how much and what can linguistic theory explain?, in The Fruits of Empirical Linguistics: Process, S. Winkler Walter de Gruyter, 2009.
M. A. M. Shaikh, Prendinger, H., and Ishizuka, M., Linguistic Interpretation of Emotions for Affect Sensing from Text, in 3rd Int'l Joint Conf. on Natural Language Processing (IJCNLP2008), Hyderabad, 2008, vol. II, pp. 895-900.
S. Hansen-Schirra and Neumann, S., Linguistische Verständlichmachung in der juristischen Realität, in Die Sprache des Rechts: Recht verstehen: Verstandlichkeit, Missverstandlichkeit und Unverstandlichkeit von Recht, vol. 1, K. D. Lerch Berlin: Walter de Gruyter, 2004, pp. 167-184.
J. Ebeling, Linking Dictionary and Corpus, in Out of Corpora: Studies in Honour of Stig Johansson, H. Hasselggård and Oksefjell, S. Amsterdam - Atlanta, GA: Rodopi, 1999.
S. Wayland, Saner, L., Ralph, A., O’Connell, S., Linck, J., Kramasz, D., and Gynther, K., The long and the short of it, University of Maryland Center for Advanced Study of Language, College Park, MD, 2013.
M
I. Ilisei, A Machine Learning Approach to the Identification of Translational Language: An Inquiry into Translationese Learning Models, University of Wolverhampton, Wolverhampton, UK, 2013.
M. Scaiano and Inkpen, D., Machine Learning for Automatic Labeling of Frames and Frame Elements in Text, International Journal of Linguistics, vol. 3, no. 1, 2011.
L. Rello, Suárez, P., and Mitkov, R., A machine learning method for identifying impersonal constructions and zero pronouns in Spanish, Procesamiento de Lenguaje Natural, vol. 45, pp. 281–285, 2010.
D. Mollá and Wan, S., Macquarie University at DUC 2006: Question Answering for Summarisation, in Document Understanding Conference (DUC), New York City, NY, 2006.
W. Black, Conroy, A., Funk, A., Ramsay, A., Stairmand, M., and Thompson, P., Making an Information State-Based Spoken Dialogue System Less Fragile, in COST278 and ISCA Tutorial and Research Workshop (ITRW) on Robustness Issues in Conversational Interaction, 2004.
B. Endres-Niggemeyer and Wansorra, E., Making Cognitive Summarization Agents Work In A Real-World Domain, in Natural Language Understanding and Cognitive Science. 1st Int. NLUCS Workshop, Porto, Portugal, 2004, pp. 86-96.
N. K. Mohd Noor, Noah, S. A., Ab Aziz, M. J., and Hamzah, M. P., Malay Anaphor and Antecedent Candidate Identification: A Proposed Solution, in Intelligent Information and Database Systems, vol. 7198, J. - S. Pan, Chen, S. - M., and Nguyen, N. T. Berlin / Heidelberg: Springer, 2012, pp. 141-151.
M. J. Blooma, Chua, A. Y. K., and Goh, D. H. - L., Mapping the Question Answering Domain, in Digital Libraries: Universal and Ubiquitous Access to Information, vol. 5362, G. Buchanan, Masoodian, M., and Cunningham, S. Berlin / Heidelberg: Springer, 2008, pp. 396-397.
N. Habash, Matador: A Large-Scale Spanish-English GHMT System, in MT Summit IX, 2003, pp. 149–156.
E. Tomadaki and Salway, A., Matching Verb Attributes for Cross-Document Event Co-reference, in Interdisciplinary Workshop on the Identification and Representation of Verb Features and Verb Classes, 2005, pp. 127-132.

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