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K
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.
M. Kupietz, Schonefeld, O., and Witt, A., The German Reference Corpus: New developments building on almost 50 years of experience, in LREC 2010, Malta, 2010.
M. Kupietz, Belica, C., Keibel, H., and Witt, A., The German Reference Corpus DEREKO: A Primordial Sample for Linguistic Research. 2010.
O. Kraif and Diwersy, S., Exploring Combinatorial Profiles Using Lexicograms on a Parsed Corpus: A Case Study in the Lexical Field of Emotions, in Les émotions dans le discours - Emotions in Discourse, P. Blumenthal, Novakova, I., and Siepmann, D. Frankfurt am Main, Berlin, Bern, Bruxelles, New York, Oxford, Wien: Peter Lang, 2014, p. 381.
K. Koskenniemi, Tapanainen, P., and Voutilainen, A., Compiling and Using Finite-State Syntactic Rules, in COLING-92, Nantes, France, 1992.
N. Konstantinova and Orăsan, C., Issues in topic tracking in Wikipedia articles, Studia Univ. Babes–Bolyai, Informatica, vol. LVI, no. 2, 2011.
N. Konstantinova, Knowledge Acquisition from User Reviews for Interactive Question Answering, University of Wolverhampton, Wolverhampton, 2013.
R. Kongkachandra and Chamnongthai, K., Using linguistics information for improving the sentence-based semantic relatedness measurement, in ISCIT 2007 - 2007 International Symposium on Communications and Information Technologies, Sydney, NSW, 2007, pp. 1372-1376.
V. Klyuev, An Approach to Implementing an Intelligent Web Search, in Japan-China Joint Workshop on Frontier of Computer Science and Technology, 2008, pp. 125–130.
D. Kipp, Shallow semantics for topic-oriented multi-document automatic text summarization, University of Ottawa, Ottawa, 2008.
D. Kipp, Shallow Semantics for Extractive Summarization using Connexor Machinese Semantics, in Workshop on Automatic Text Summarization 2011, St. John’s, Newfoundland and Labrador, Canada, 2011.
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 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.
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.
H. Kermes and Evert, S., Text analysis meets corpus linguistics, in Corpus Linguistics 2003, 2003.
B. Kenny and Meaton, J., Cross-benchmarking international competitiveness and performance in human language technologies, Benchmarking: An International Journal, vol. 14, no. 5, pp. 594-608, 2007.
A. Kazantseva, Automatic Summarization of Short Fiction., University of Ottawa, Ottawa, 2006.
A. Kazantseva, An approach to summarizing short stories, in Eleventh Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, Trento, Italy, 2006, pp. 55–62.
A. Kazantseva and Szpakowicz, S., Challenges in evaluating summaries of short stories, in Workshop on Task-Focused Summarization and Question Answering, Sydney, Australia, 2006, pp. 8–15.
A. Kazantseva and Szpakowicz, S., Measuring Lexical Cohesion: Beyond Word Repetition, in COLING 2014, the 25th International Conference on Computational Linguistics, Dublin, Ireland, 2014.
A. Kazantseva and Szpakowicz, S., Summarizing Short Stories, Computational Linguistics, vol. 36, no. 1, pp. 71-109, 2010.
A. Kaster, Siersdorfer, S., and Weikum, G., Combining Text and Linguistic Document Representations for Authorship Attribution, 2005.
J. Karlgren and Järvinen, T., Foreground and background text in retrieval, AAAI Technical Report SS-02-09, 2002.
J. Karlgren, Sahlgren, M., and Cöster, R., Weighting Query Terms Based on Distributional Statistics, in Accessing Multilingual Information Repositories, vol. 4022, C. Peters, Gey, F. C., Gonzalo, J., Müller, H., Jones, G., Kluck, M., Magnini, B., and de Rijke, M. Berlin / Heidelberg: Springer, 2006, pp. 208-211.
J. Karlgren, Dalianis, H., and Jongejan, B., Experiments to investigate the connection between case distribution and topical relevance of search terms in an information retrieval setting, in LREC 2008, 2008.

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