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Found 114 results
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G
M. Civit and Antònia Martí, M., GramCat and GramEsp: two grammars for chunking, in Intelligent Information Processing and Web Mining, vol. 31, M. Klopotek, Wierzchon, S., and Trojanowski, K. Springer Berlin / Heidelberg, 2005, pp. 159-167.
H
C. Orăsan and Puşcaşu, G., A High Precision Information Retrieval Method for WiQA, in Evaluation of Multilingual and Multi-modal Information Retrieval, vol. 4730, C. Peters, Clough, P., Gey, F. C., Karlgren, J., Magnini, B., Oard, D. W., Rijke, M., and Stempfhuber, M. Berlin / Heidelberg: Springer, 2007, pp. 561-568.
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S. Lalitha Devi, Kuppan, S., Venkataswamy, K., and Rao, P. R. K., Identification of Similar Documents Using Coherent Chunks, in Anaphora Processing and Applications, vol. 5847, S. Lalitha Devi, Branco, A., and Mitkov, R. Berlin / Heidelberg: Springer, 2009, pp. 54-68.
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.
A. Kurczewska, Kyrö, P., Lagus, K., Kohonen, O., and Lindh-Knuutila, T., The interplay between cognitive, conative, and affective constructs along the entrepreneurial learning process, Education+ Training, vol. 60, pp. 891–908, 2018.
A. Kurczewska, Kyrö, P., Lagus, K., Kohonen, O., and Lindh-Knuutila, T., The interplay between cognitive, conative, and affective constructs along the entrepreneurial learning process, Education+ Training, vol. 60, pp. 891–908, 2018.
A. Kurczewska, Kyrö, P., Lagus, K., Kohonen, O., and Lindh-Knuutila, T., The interplay between cognitive, conative, and affective constructs along the entrepreneurial learning process, Education+ Training, vol. 60, pp. 891–908, 2018.
N. Konstantinova and Orăsan, C., Issues in topic tracking in Wikipedia articles, Studia Univ. Babes–Bolyai, Informatica, vol. LVI, no. 2, 2011.
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T. Copeck, Inkpen, D., Kazantseva, A., Kennedy, A., Kipp, D., Nastase, V., and Szpakowicz, S., Leveraging DUC, in Document Understanding Conference (DUC), 2006.
T. Copeck, Inkpen, D., Kazantseva, A., Kennedy, A., Kipp, D., Nastase, V., and Szpakowicz, S., Leveraging DUC, in Document Understanding Conference (DUC), 2006.
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.
L. Ahrenberg, LinES: An English-Swedish Parallel Treebank, in 16th Nordic Conference of Computational Linguistics Nodalida, Tartu, Estonia, 2007, pp. 270-273.
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.
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A. Kazantseva and Szpakowicz, S., Measuring Lexical Cohesion: Beyond Word Repetition, in COLING 2014, the 25th International Conference on Computational Linguistics, Dublin, Ireland, 2014.
M. Holmqvist, Memory-Based Learning of Word Translation, in 16th Nordic Conference of Computational Linguistics Nodalida, Tartu, Estonia, 2007, pp. 231-234.
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.
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.
X. Mao and Li, Z., Multimodal Intelligent Tutoring Systems, in E-Learning-Organizational Infrastructure and Tools for Specific Areas, E. Pontes, Silva, A., Guelfi, A., and Kofuji, S. T. InTech, 2012, pp. 83-98.
K. Kanto, Cheadle, M., Keränen, H., Gambäck, B., Jokinen, K., Hansen, P., and Rissanen, J., Multi-Session Group Scenarios for Speech Interface Design, in Human-Computer Interaction: Theory and Practice (Part II), 2003.
K. Kanto, Cheadle, M., Keränen, H., Gambäck, B., Jokinen, K., Hansen, P., and Rissanen, J., Multi-Session Group Scenarios for Speech Interface Design, in Human-Computer Interaction: Theory and Practice (Part II), 2003.
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K. Kettunen and Ruokolainen, T., Names, Right or Wrong: Named Entities in an OCRed Historical Finnish Newspaper Collection, in 2nd International Conference on Digital Access to Textual Cultural Heritage, Goettingen, Germany, 2017.

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