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NLP Library

Found 57 results
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R. Aguirre and Nyerges, T., Geovisual evaluation of public participation in decision making: The grapevine, Journal of Visual Languages & Computing, vol. 22, pp. 305 - 321, 2011.
M. Merkel and Nilsson, H., Getting to terms with terminology at Swedish public agencies, in NODALIDA 2011 workshop Creation, Harmonization and Application of Terminology Resources, 2011.
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D. Tsetserukou and Neviarouskaya, A., iFeel_IM!: Augmenting Emotions during Online Communication, IEEE Computer Graphics and Applications, vol. 30, pp. 72-80, 2010.
J. Nivre, Inductive Dependency Parsing. Dordrecht: Springer, 2006, p. 216.
E. Nyberg, Riebling, E., Wang, R. C., and Frederking, R., Integrating a Natural Language Message Pre-Processor with UIMA, 2008.
K. Smid, Pandzic, I. S., and Radman, V., Intelligent Content Production for a Virtual Speaker, in Intelligent Media Technology for Communicative Intelligence, vol. 3490, L. Bolc, Michalewicz, Z., and Nishida, T. Berlin / Heidelberg: Springer, 2005, pp. 163-174.
A. Neviarouskaya, Aono, M., Prendinger, H., and Ishizuka, M., Intelligent Interface for Textual Attitude Analysis, ACM Transactions on Intelligent Systems and Technology, vol. 5, no. 3, pp. 48:1–48:20, 2014.
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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.
T. Copeck, Inkpen, D., Kazantseva, A., Kennedy, A., Kipp, D., Nastase, V., and Szpakowicz, S., Leveraging DUC, in Document Understanding Conference (DUC), 2006.
L. Ahrenberg, LinES: An English-Swedish Parallel Treebank, in 16th Nordic Conference of Computational Linguistics Nodalida, Tartu, Estonia, 2007, pp. 270-273.
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.
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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.
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. Holmqvist, Memory-Based Learning of Word Translation, in 16th Nordic Conference of Computational Linguistics Nodalida, Tartu, Estonia, 2007, pp. 231-234.
C. Khoo, Chan, S., Niu, Y., and Ang, A., A method for extracting causal knowledge from textual databases, Singapore journal of library & information management, vol. 28, pp. 48–63, 1999.
K. Kettunen, Mäkelä, E., Ruokolainen, T., and Niemi, J., Modern Tools for Old Content - in Search of Named Entities in a Finnish OCRed Historical Newspaper Collection 1771-1910, in LWDA 2016, Potsdam, 2016.
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B. Endres-Niggemeyer, Ontology-based information extraction in agents’ hands, in 1st International and KI-08 Workshop on Ontology-based Information Extraction Systems (OBIES 2008) , Kaiserslautern, Germany, 2008.
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A. Neviarouskaya, Prendinger, H., and Ishizuka, M., Recognition of Affect Conveyed by Text Messaging in Online Communication, in Online Communities and Social Computing, vol. 4564, D. Schuler Berlin / Heidelberg: Springer, 2007, pp. 141-150.
A. Neviarouskaya, Prendinger, H., and Ishizuka, M., Recognition of Affect, Judgment, and Appreciation in Text, in 23rd International Conference on Computational Linguistics (COLING'10), Beijing, China, 2010, pp. 806-814.
A. Neviarouskaya, Prendinger, H., and Ishizuka, M., Recognition of Fine-Grained Emotions from Text: An Approach Based on the Compositionality Principle, in Modeling Machine Emotions for Realizing Intelligence, vol. 1, R. J. Howlett, Jain, L. C., Nishida, T., Jain, L. C., and Faucher, C. Berlin Heidelberg: Springer, 2010, pp. 179-207.
A. Neviarouskaya, Prendinger, H., and Ishizuka, M., Recognition of Fine-Grained Emotions from Text: An Approach Based on the Compositionality Principle, in Modeling Machine Emotions for Realizing Intelligence, vol. 1, R. J. Howlett, Jain, L. C., Nishida, T., Jain, L. C., and Faucher, C. Berlin Heidelberg: Springer, 2010, pp. 179-207.
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M. Merkel and Foo, J., Terminology extraction and term ranking for standardizing term banks, in 16th Nordic Conference of Computational Linguistics Nodalida, Tartu, Estonia, 2007, pp. 349-354.

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