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References 1. Miller, G. A. WordNet: A Lexical Database for English. – Communications of the ACM, Vol. 38 , 1995, No 11, pp. 39-41. 2. Lesk, M. Automatic Sense Disambiguation Using Machine Readable Dictionaries: How to Tell a Pine Cone from an Ice Cream Cone. – In: Proc. of 5th Annual International Conference on Systems Documentation, ACM, 1986. 3. Agirre, E., A. Soroa. Personalizing Pagerank for Word Sense Disambiguation. – In: Proc. of 12th Conference of the European Chapter of the Association for Computational Linguistics. Association for Computational

References Agirre, Eneko, and Edmonds, Philip. Eds. 2006. Word Sense Disambiguation: Algorithms and Applications. Berlin: Springer. Asher, Nicholas and Lascarides, Alex. 2003. Logics of Conversation . Cambridge: Cambridge University Press. Bach, Kent. 2007. The Excluded Middle. Semantic Minimalism Without Minimal Propositions. Philosophy and Phenomenological Research 53: 435-442. Beaver, David. 2001. Presupposition and Assertion in Dynamic Semantics . Stanford, CA: CSLI Publications. Beretta, Alan, Fiorentino, Robert and Poeppel, David. 2005. The Effects of

References Bangalore, Srinivas, Patrick Haffner, and Stephan Kanthak. Statistical Machine Translation through Global Lexical Selection and Sentence Reconstruction. In ACL, 2007. Berger, Adam L., Stephen A. Della Pietra, and Vincent J. Della Pietra. A maximum entropy approach to natural language processing. Computational Linguistics, 22(1), 1996. Carpuat, Marine and Dekai Wu. Improving statistical machine translation using word sense disambiguation. In EMNLP, 2007. Chan, Yee Seng, Hwee Tou Ng, and David Chiang. Word Sense Disambiguation Improves Statistical

special issue on natural language generation , Computational Linguistics 24 (1998), 345-353. [8] Diaconescu, Ş. Natural Language Agreement Description for Reversible Grammars , Advances in Artificial Intelligence Lecture Notes in Computer Science 2903 (2003), 161-172. [9] Hristea, F.; Colhon, M. Feeding Syntactic Versus Semantic Knowledge to a Knowledge-lean Unsupervised Word Sense Disambiguation Algorithm with an Underlying Naive Bayes Model , Fundamenta Informaticae Journal 119(1) (2012), 61-86. [10] Hristea, F. The Naive Bayes Model for Unsupervised Word

References Atkins, Sue B.T. and Rundell, Michael. 2008. The Oxford Guide to Practical Lexicography . Oxford: Oxford University Press. Dragićević, Rajna. 2007. Leksikologija srpskog jezika . Belgrade: Zavod za udžbenike. Kilgarriff, Adam. 2006. “Word Senses” in Word Sense Disambiguation: Algorithms and Applications . Eneko Agirre and Philip Glenny Edmonds (Eds.). New York: Springer, pp. 29-45. Stock, Penelope F. 1984. “Polysemy” in LEXeter ‘83Proceedings . Reinhard R.K. Hartmann (Ed.). Tübingen: Niemeyer, pp. 131-141. Zgusta, Ladislav. 1971. Manual of

References Atkins, Sue B.T. and Rundell, Michael. 2008. The Oxford Guide to Practical Lexicography . Oxford: Oxford University Press. Dragićević, Rajna. 2007. Leksikologija srpskog jezika . Belgrade: Zavod za udžbenike. Kilgarriff, Adam. 2006. “Word Senses” in Word Sense Disambiguation: Algorithms and Applications . Eneko Agirre and Philip Glenny Edmonds (Eds.). New York: Springer, pp. 29-45. Stock, Penelope F. 1984. “Polysemy” in LEXeter ‘83Proceedings . Reinhard R.K. Hartmann (Ed.). Tübingen: Niemeyer, pp. 131-141. Zgusta, Ladislav. 1971. Manual of

References [1] Hanks, P. (2000). Pattern Dictionary of English Verbs . UK. Accessible at: http://pdev.org.uk . [2] Cinková, S., Holub, M., Rambousek, A., and Smejkalová, L. (2012). A database of semantic clusters of verb usages. In Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012) , pages 3176–3183, European Language Resources Association, Istanbul, Turkey. [3] Cinkova, S., Krejčová, E., Vernerová, A., and Baisa, V. (2016). Graded and Word-Sense-Disambiguation Decisions in Corpus Pattern Analysis: a Pilot Study

), Nicoletta Calzolari (Conference Chair), Khalid Choukri, Thierry Declerck, Mehmet Uğur Doğan, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis, Eds. 3. Broda, B., P. Kędzia, M. Marcińczuk, A. Radziszewski, R. Ramocki, A. Wardyński. Fextor: A Feature Extraction Framework for Natural Language Processing: A Case Study in Word Sense Disambiguation, Relation Recognition and Anaphora Resolution. – In: Computational Linguistics: Applications. Adam Przepiórkowski, Maciej Piasecki, Krzysztof Jassem, Piotr Fuglewicz, Eds. Berlin, Heidelberg, Springer

translation using word sense disambiguation. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL) , pages 61-72. Daelemans, W. and A. Van den Bosch. 2005. Memory-based language processing. Cambridge University Press, Cambridge, UK. Daelemans, W., A. Van den Bosch, and A. Weijters. 2007. igtree: using trees for compression and classification in lazy learning algorithms. Artificial Intelligence Review , 11:407-423. Giménez, J. and L. Màrquez. 2007. Context

. 3, pp.113-124, 1956 [5] W. A. Gale, K. W. Church, and D. Yarowsky, Work on statistical methods for word sense disambiguation, In Working Notes of the AAAI Fall Symposium on Probabilistic Approaches to Natural Language, vol. 54, p. 60. 1992 [6] J. Kupiec, Robust part-of-speech tagging using a hidden markov model, Computer Speech & Language, vol. 6, no. 3, pp. 225 - 242, 1992 [7] H. Schmid, Probabilistic part-of-speech tagging using decision trees, in Proceedings of the international conference on new methods in language processing, vol. 12, pp. 44-49. Citeseer