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Found 463 results
[ Author(Desc)] Title Type Year
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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.
D. Tsetserukou and Neviarouskaya, A., World's first wearable humanoid robot that augments our emotions, in 1st Augmented Human International Conference, Tokyo, Japan, 2010, pp. 8:1–8:10.
D. Tsetserukou, Neviarouskaya, A., Prendinger, H., Kawakami, N., and Tachi, S., Affective haptics in emotional communication, in 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops (ACII 2009), 2009, pp. 1-6.
P. P. Tuominen, Using Rule-Based Natural Language Processing in Customer Experience Development, in eCHRIE, 2013.
M. Turunen, Salonen, E. - P., Hartikainen, M., Hakulinen, J., Black, W., Ramsay, A., Funk, A., Conroy, A., Thompson, P., Stairmand, M., Jokinen, K., Rissanen, J., Kanto, K., Kerminen, A., Gambäck, B., Sahlgren, M., Olsson, F., Cheadle, M., Hansen, P., and Nylander, S., AthosMail: a Multilingual Adaptive Spoken Dialogue System for the E-mail Domain, in COLING 2004 Satellite Workshop: Robust and Adaptive Information Processing for Mobile Speech Interfaces , Geneva, Switzerland, 2004.
M. Turunen, Salonen, E. - P., Hartikainen, M., and Hakulinen, J., Robust and Adaptive Architecture for Multilingual Spoken Dialogue Systems, in ICSLP 2004, 2004.
A. Tutin, Comparing morphological and syntactic variations of support verb constructions and verbal full phrasemes in French: a corpus based study, in Relieving the pain in the neck in natural language processing. PARSEME 7th general meeting, Dubrovnik, Croatia, 2016.
O. Valkeapää, Alm, O., and Hyvönen, E., Efficient content creation on the semantic web using metadata schemas with domain ontology services, in European Semantic Web Conference ESWC 2007, 2007, pp. 4–5.
A. Vasiļjevs, Gornostay, T., Skadiņa, I., Deksne, D., Skadiņš, R., and Pinnis, M., Recent advances in the development and sharing of language resources and tools for Latvian, in Multilingual Processing in Eastern and Southern EU Languages – Less-resourced Technologies and Translation, C. Vertan and v.Hahn, W. Cambridge Scholars Publishing, 2012.
A. Vehviläinen, A SemiAutomatic Semantic Annotation and Authoring Tool for a Library Help Desk Service, in First Semantic Authoring and Annotation Workshop, ISWC-2006, 2006.
S. Verberne, D’hondt, E., Oostdijk, N., and Koster, C. H. A., Quantifying the Challenges in Parsing Patent Claims, in 1st International Workshop on Advances in Patent Information Retrieval (AsPIRe’10), 2010.
A. Voutilainen and Lindén, K., Specifying a Dependency Representation with a Grammar Definition Corpus, in Corpus Linguistics Conference 2011, Birmingham, England, UK, 2011.
A. Voutilainen, Tagging and parsing with rules: The case of Swedish, Lingvisticæ Investigationes, vol. 24, pp. 43-66, 2001.
S. Wan, Dras, M., Dale, R., and Paris, C., Towards Statistical Paraphrase Generation: Preliminary Evaluations of Grammaticality, in 3rd International Workshop on Paraphrasing (IWP2005), Jeju Island, South Korea, 2005.
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.
S. Wan, Dras, M., Dale, R., and Paris, C., Statistically Generated Summary Sentences: A Preliminary Evaluation using a Dependency Relation Precision Metric, in Corpus Linguistics 2005 Workshop on Using Corpora for Natural Language Generation, Birmingham, 2005.
S. Wan, Dale, R., and Dras, M., Searching for grammaticality: Propagating dependencies in the Viterbi algorithm, in 10th European Natural Language Processing Workshop, 2005.
T. Wattarujeekrit and Collier, N., Exploring Predicate-Argument Relations for Named Entity Recognition in the Molecular Biology Domain, in Discovery Science, vol. 3735, A. Hoffmann, Motoda, H., and Scheffer, T. Berlin / Heidelberg: Springer, 2005, pp. 267-280.
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.
A. Witt, Stührenberg, M., Goecke, D., and Metzing, D., Integrated Linguistic Annotation Models and Their Application in the Domain of Antecedent Detection, in Modeling, Learning, and Processing of Text Technological Data Structures, vol. 370, A. Mehler, Kühnberger, K. - U., Lobin, H., Lüngen, H., Storrer, A., and Witt, A. Berlin/Heidelberg: Springer, 2012, pp. 197-218.
B. C. M. Xian, Zahari, F., and Lukose, D., Benchmarking ARS: anaphora resolution system, in 11th International Conference on Knowledge Management and Knowledge Technologies, Graz, Austria, 2011.
Y. Yan, Li, H., Matsuo, Y., and Ishizuka, M., Multi-view Bootstrapping for Relation Extraction by Exploring Web Features and Linguistic Features, in Computational Linguistics and Intelligent Text Processing, vol. 6008, A. Gelbukh Berlin / Heidelberg: Springer, 2010, pp. 525-536.
Y. Yan, Matsuo, Y., Ishizuka, M., and Yokoi, T., Annotating an Extension Layer of Semantic Structure for Natural Language Text, in Proceedings of the 2008 IEEE International Conference on Semantic Computing, Washington, DC, USA, 2008, pp. 174–181.
Y. Yan, Matsuo, Y., Ishizuka, M., and Yokoi, T., Relation Classification for Semantic Structure Annotation of Text, in IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, Toronto, Canada, 2008.
R. Yangarber, Counter-Training in Discovery of Semantic Patterns, in Forty-First Annual Meeting of the Association for Computational Linguistics, 2003, pp. 343–350.