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Found 463 results
[ Author(Asc)] Title Type Year
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S. Štajner, Towards a Better Exploitation of the Brown 'Family'Corpora in Diachronic Studies of British and American English Language Varieties, in Student Research Workshop associated with The 8th International Conference on Recent Advances in Natural Language Processing (RANLP 2011), Hissar, Bulgaria, 2011.
S. Štajner, New Data-Driven Approaches to Text Simplification, University of Wolverhampton, Wolverhampton, 2015.
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.
S. Štajner and Saggion, H., Readability Indices for Automatic Evaluation of Text Simplification Systems: A Feasibility Study for Spanish, in International Joint Conference on Natural Language Processing, Nagoya, Japan, 2013.
S. Štajner and Mitkov, R., Diachronic Changes in Text Complexity in 20th Century English Language: An NLP Approach, in Eight International Conference on Language Resources and Evaluation (LREC'12), Istanbul, Turkey, 2012.
S. Štajner, Drndarević, B., and Saggion, H., Corpus-based Sentence Deletion and Split Decisions for Spanish Text Simplification, Computacíon y Sistemas, vol. 17, no. 2, pp. 251-262, 2013.
S. Štajner, Mitkov, R., and Leech, G., Natural Language Processing methodology for tracking diachronic changes in the 20th century English language, Journal of Research Design and Statistics in Linguistics and Communication Science, vol. 1, no. 1, 2014.
S. Štajner and Saggion, H., Adapting Text Simpli cation Decisions to Di fferent Text Genres and Target Users, Procesamiento del Lenguaje Natural, no. 51, pp. 135-142, 2013.
Y. - I. Song, Lee, J. - T., and Rim, H. - C., Word or phrase?: learning which unit to stress for information retrieval, in Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP, Suntec, Singapore, 2009, vol. 2, pp. 1048–1056.
Y. - I. Song, Han, K. - S., Kim, S. - B., Park, S. - Y., and Rim, H. - C., A novel retrieval approach reflecting variability of syntactic phrase representation, Journal of Intelligent Information Systems, vol. 31, no. 3, pp. 265-286, 2008.
T. Smith, SAS® Curriculum Pathways® uses Connexor Technology to Help Teach Children Writing Skills , 2010. [Online]. Available:
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.
K. Smid, Pandzic, I. S., and Radman, V., Autonomous Speaker Agent, in Computer Animation and Social Agents CASA 2004, Geneva, Switzerland, 2004.
E. J. Sironen, Re translation and Normative Changes in Finnish Translation of Non - Fiction, University of Eastern Finland, Joensuu, 2016.
M. Sirola-Belliard, Is there a future for the Finnish comitative?, in Case, Animacy and Semantic Roles, S. Kittilä, Västi, K., and Ylikoski, J. Amsterdam: John Benjamins Publishing Company, 2011, p. 135.
R. Sinkkilä, Suominen, O., and Hyvönen, E., Automatic Semantic Subject Indexing of Web Documents in Highly Inflected Languages, in The Semantic Web: Research and Applications, vol. 6643, G. Antoniou, Grobelnik, M., Simperl, E., Parsia, B., Plexousakis, D., De Leenheer, P., and Pan, J. Berlin / Heidelberg: Springer , 2011, pp. 215-229.
R. Sinkkilä, Suominen, O., and Hyvönen, E., Automatic Semantic Subject Indexing of Web Documents in Highly Inflected Languages. 2010.
M. Silfverberg and Lindén, K., Part-of-Speech Tagging Using Parallel Weighted Finite-State Transducers, in Advances in Natural Language Processing, vol. 6233, H. Loftsson, Rögnvaldsson, E., and Helgadóttir, S. Berlin / Heidelberg: Springer, 2010, pp. 369-380.
G. Sidorov, Herrera-de-la-Cruz, J., Galicia-Haro, S., Posadas-Durán, J., and Chanona-Hernandez, L., Heuristic Algorithm for Extraction of Facts Using Relational Model and Syntactic Data, in Advances in Artificial Intelligence, vol. 7094, I. Batyrshin and Sidorov, G. Berlin / Heidelberg: Springer, 2011, pp. 328-337.
M. A. M. Shaikh, Molla, M. K. I., and Hirose, K., Assigning Suitable Phrasal Tones and Pitch Accents by Sensing Affective Information from Text to Synthesize Human-Like Speech , in INTERSPEECH 2008 - 9th Annual Conference of the International Speech Communication Association, Brisbane, Australia, 2008.
M. A. M. Shaikh, Prendinger, H., and Ishizuka, M., Emotion Sensitive News Agent: An Approach Towards User Centric Emotion Sensing from the News, in IEEE/WIC/ACM International Conference on Web Intelligence, Fremont, CA, USA, 2007, pp. 614–620.
M. A. M. Shaikh, Prendinger, H., and Mitsuru, I., SenseNet: A Linguistic Tool to Visualize Numerical-Valance Based Sentiment of Textual Data, in 5th International Conference on Natural Language Processing (ICON 2007), Hyderabad, 2007.
M. A. M. Shaikh, Prendinger, H., and Mitsuru, I., Assessing Sentiment of Text by Semantic Dependency and Contextual Valence Analysis, in Affective Computing and Intelligent Interaction, vol. 4738, A. Paiva, Prada, R., and Picard, R. Berlin / Heidelberg: Springer, 2007, pp. 191-202.
M. A. M. Shaikh, Islam, M. T., and Ishizuka, M., ASNA: An Intelligent Agent for Retrieving and Classifying News on the Basis of Emotion-Affinity, in International Conference on Computational Intelligence for Modelling, Control and Automation, Sydney, Australia, 2006, p. 133.
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.