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K. Nyberg, Raiko, T., Tiinanen, T., and Hyvönen, E., Document classification utilising ontologies and relations between documents, in Eighth Workshop on Mining and Learning with Graphs, 2010, pp. 86–93.
E. Nyberg, Riebling, E., Wang, R. C., and Frederking, R., Integrating a Natural Language Message Pre-Processor with UIMA, 2008.
K. Nyberg, Document Classification Using Machine Learning and Ontologies, Aalto University, Espoo, 2011.
J. Nivre, Dependency grammar and dependency parsing, Växjö University, 2005.
J. Nivre, Inductive Dependency Parsing. Dordrecht: Springer, 2006, p. 216.
J. Nivre, What kinds of trees grow in Swedish soil? A comparison of four annotation schemes for Swedish, in First Workshop on Treebanks and Linguistic Theories (TLT2002), Sozopol, Bulgaria, 2002.
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., Semantically distinct verb classes involved in sentiment analysis, in IADIS International Conference APPLIED COMPUTING 2009, Rome, Italy, 2009.
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.
A. Neviarouskaya, Prendinger, H., and Ishizuka, M., Analysis of affect expressed through the evolving language of online communication, in 12th international conference on Intelligent user interfaces, New York, NY, USA, 2007, pp. 278–281.
A. Neviarouskaya, Tsetserukou, D., Prendinger, H., Kawakami, N., Tachi, S., and Ishizuka, M., Emerging System for Affectively Charged Interpersonal Communication. 2009.
A. Neviarouskaya, Prendinger, H., and Ishizuka, M., AM: textual attitude analysis model, in NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text, Los Angeles, California, 2010, pp. 80–88.
A. Neviarouskaya and Aono, M., Extracting Causes of Emotions from Text, in International Joint Conference on Natural Language Processing, Nagoya, Japan, 2013.
A. Neviarouskaya, Prendinger, H., and Ishizuka, M., Compositionality Principle in Recognition of Fine-Grained Emotions from Text. 2009.
A. Neviarouskaya, Prendinger, H., and Ishizuka, M., Affect Analysis Model: novel rule-based approach to affect sensing from text, Natural Language Engineering, vol. 17, no. 1, pp. 95-135, 2011.
A. Neviarouskaya and Aono, M., Analyzing Sentiment Word Relations with Affect, Judgment, and Appreciation, in 2nd Workshop on Sentiment Analysis where AI meets Psychology (SAAIP 2012), Mumbai, 2012.
A. Neviarouskaya, Compositional Approach for Automatic Recognition of Fine-Grained Affect, Judgment, and Appreciation in Text, University of Tokyo, Tokyo, Japan, 2011.
A. Neviarouskaya, Prendinger, H., and Ishizuka, M., Textual Affect Sensing for Sociable and Expressive Online Communication, in Affective Computing and Intelligent Interaction, vol. 4738, A. Paiva, Prada, R., and Picard, R. Berlin / Heidelberg: Springer, 2007, pp. 218-229.
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., Attitude Sensing in Text Based on A Compositional Linguistic Approach, Computational Intelligence, vol. 31, pp. 256–300, 2015.
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.
Á. Nagy, Contrasting French nominal terms to common language NPs – towards a rule-based term extractor, in First Central European Conference in Linguistics for postgraduate Students , Budapest, 2012.
J. - C. Na, Sui, H., Khoo, C., Chan, S., and Zhou, Y., Effectiveness of Simple Linguistic Processing in Automatic Sentiment Classification of Product Reviews, in Knowledge Organization and the Global Information Society: Proceedings of the Eighth International ISKO Conference, I. C. McIlwaine Wurzburg, Germany: Ergon Verlag, 2004, pp. 49-54.