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[ Author(Desc)] Title Type Year
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K. Smid, Pandzic, I. S., and Radman, V., Autonomous Speaker Agent, in Computer Animation and Social Agents CASA 2004, Geneva, Switzerland, 2004.
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.
T. Smith, SAS® Curriculum Pathways® uses Connexor Technology to Help Teach Children Writing Skills , 2010. [Online]. Available: http://www.businesswire.com/news/home/20100812005017/en/SAS%C2%AE-Curriculum-Pathways%C2%AE-Connexor-Technology-Teach-Children.
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.
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.
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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.
S. Štajner, Evans, R., Orăsan, C., and Mitkov, R., What Can Readability Measures Really Tell Us About Text Complexity?, in Natural Language Processing for Improving Textual Accessibility (NLP4ITA), Istanbul, Turkey, 2012.
S. Štajner and Mitkov, R., Diachronic Changes in Text Complexity in 20th Century English Language: An NLP Approach, in The eighth international conference on Language Resources and Evaluation (LREC), Istanbul, Turkey, 2012.
S. Štajner and Evans, R., Can Statistical Tests Be Used for Feature Selection in Diachronic Text Classification?, in Statistical Language and Speech Processing, vol. 7978, A. - H. Dediu, Martín-Vide, C., Mitkov, R., and Truthe, B. Berlin / Heidelberg: Springer, 2013, pp. 273-283.
S. Štajner, Mitkov, R., and Corpas Pastor, G., Simple or Not Simple? A Readability Question, in Language Production, Cognition, and the Lexicon, vol. 48, N. Gala, Rapp, R., and Bel-Enguix, G. Springer International Publishing, 2015, pp. 379-398.
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.
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J. Stasko, Görg, C., and Liu, Z., Jigsaw: supporting investigative analysis, in Information Visualization, Palgrave Macmillan, 2008.
M. Stede and Bieler, H., The MOTS Workbench, 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. 15-34.
M. Stede, Connective-based local coherence analysis: a lexicon for recognizing causal relationships, in Conference on Semantics in Text Processing (STEP'08), Venice, Italy, 2008, pp. 221–237.
C. Stein, Etzkorn, L., and Utley, D., Computing software metrics from design documents, in 42nd annual Southeast regional conference, Huntsville, Alabama, 2004, pp. 146–151.
M. Stevenson and Greenwood, M. A., Comparing Information Extraction Pattern Models, in Information Extraction Beyond The Document Workshop (COLING/ACL 2006), 2006.
T. Strzalkowski, Perez-Carballo, J., Karlgren, J., Tapanainen, P., and Lahtinen, T., Natural Language Information Retrieval: TREC-8 Report, 1999.
R. Stuckardt, Design and enhanced evaluation of a robust anaphor resolution algorithm, Computational Linguistics, vol. 27, no. 4, pp. 479–506, 2001.
M. Stührenberg, Beißwenger, M., Kühnberger, K. - U., Lüngen, H., Mehler, A., Metzing, D., and Mönnich, U., Sustainability of Text-Technological Resources, in 6th International Conference on Language Resources and Evaluation (LREC 2008), 2008.

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