Agirre E., and Edmonds P., 2006. Word Sense Disambiguation: Algorithms and Applications. New York, NY: Springer.
Agirre E., and Soroa A., 2007. Semeval-2007 task 02: evaluating word sense induction and discrimination systems. In Proceedings of SemEval-2007, Prague, Czech Republic, pp. 7–12.
Agirre E., and Soroa A., 2009. Personalizing PageRank for word sense disambiguation. In Proceedings of the 12th Conference of the European Chapter of the ACL, Athens, Greece, pp. 33–41.
Agrawal R., and Srikant R., 1994. Fast algorithms for mining association rules in large databases. In Proceedings of the 20th International Conference on Very Large Databases (VLDB), Santiago de Chile, Chile, pp. 487–99.
Ahmadi M., Sami A., Rahimi H., and Yadegari B. 2013. Malware detection by behavioral sequential patterns. Computer Fraud and Security 2013 (8): 11–9 (Elsevier).
Banea C., and Mihalcea R., 2011. Word sense disambiguation with multilingual features. In Proceedings of the 9th International Conference on Computational Semantics, Oxford, UK, pp. 25–34.
Bar-Hillel Y. 1960. The present status of automatic translation of languages. Advances in Computers 1: 91–163 (Academic Press, New York).
Brown P. F., Della Pietra V. J., Pietra Stephan. A. Della., Mercer R.L., and Lai J. C. 1992. An estimate of an upper bound for the entropy of English. Computational Linguistics 18 (1): 31–40 (MIT Press).
Chen S. F., Beeferman D., and Rosenfeld R., 1998. Evaluation metrics for language models. In Proceedings of the DARPA Broadcast News Transcription and Understanding Workshop, Virginia, USA, pp. 275–80.
Cheng H., Yan X., Han J., and Hsu C., 2007. Discriminative frequent pattern analysis for effective classification. In Proceedings of the IEEE 23rd International Conference on Data Engineering (ICDE 07), Istanbul, Turkey, pp. 716–25.
Cottrell G. W., 1989. A Connectionist Approach to Word Sense Disambiguation. London: Pitman.
Decadt B., Hoste V., Daelemans W., and Van Den Bosch A. 2004. GAMBL, genetic algorithm optimization of memory-based WSD. In Proceedings of Senseval-3: 3rd International Workshop on the Evaluation of Systems for the Semantic Analysis of Text, Barcelona, Spain, pp. 108–12. Stroudsburg, PA: Association for Computational Linguistics.
Fellbaum C. 1998. WordNet: An Electronic Lexical Database. Cambridge, MA: MIT Press (a Bradford book).
Hall M. A., 1998. Correlation-Based Feature Subset Selection for Machine Learning. Hamilton, New Zealand: University of Waikato.
Hall M., Frank E., Holmes G., Pfahringer B., Reutemann P., and Witten I. H., 2009. The WEKA data mining software: an update. ACM SIGKDD Explorations Newsletter 11 (1): 10–8.
Han J., Pei J., Yin Y., and Mao R. 2004. Mining frequent patterns without candidate generation. Data Mining and Knowledge Discovery 8 (1): 53–87 (Kluwer Academic, Netherlands).
Hoste V., Hendrickx I., Daelemans W., and Van Den Bosch A. 2002. Parameter optimization for machine-learning of word sense disambiguation. Natural Language Engineering 8 (4): 311–25 (Cambridge University Press, Cambridge, UK).
Hovy E., Marcus M., Palmer M., Ramshaw L., and Weischedel R., 2006. OntoNotes: the 90% solution. In Proceedings of HLTNAACL, New York, USA companion volume: short papers, pp. 57–60.
Iyer R., Ostendorf M., and Meteer M., 1997. Analyzing and predicting language model improvements. In Proceedings of the IEEE Workshop on Automatic Speech Recognition and Understanding, Santa Barbara, CA, pp. 254–61.
Jason G. S., and Lethal G. S., 2008. Size of N for word sense disambiguation using N-gram model for Punjabi language. International Journal of Translation 20 (1–2): 47–56.
Ji H., 2010. One sense per context: improving word sense disambiguation using web-scale phrase clustering. In 4th International Universal Communication Symposium (IUCS), Beijing, China, pp. 181–4.
Jurafsky D., and martin J. 2008. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition, 2nd ed.New Jersey: Prentice-Hall.
Klapaftis I. P., and Manandhar S. 2010. Word sense induction & disambiguation using hierarchical random graphs. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pp. 745–55. Cambridge, MA: Association for Computational Linguistics.
Lefever E., Hoste V., and De Cock M., 2011. ParaSense or how to use parallel corpora for word sense disambiguation. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL-11), Oregon, USA, pp. 317–22.
Lin D., and Pantel P. 2002. Discovering word senses from text. In 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Canada, pp. 613–9.
Lo D., Cheng H., Han J., Khoo S.-C., and Sun C. 2009. Classification of software behaviors for failure detection: a discriminative pattern mining approach. In Proceedings of the 15th ACM SIGDD International Conference on Knowledge Discovery and Data Mining, New York, pp. 557–66.
Lo D., and Khoo S.-C. 2007. Efficient mining of iterative patterns for software specification discovery. In Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, California, pp. 460–9.
Marti U. V., and Bunke H., 2001. On the influence of vocabulary size and language models in unconstrained handwritten text recognition. In Proceedings of 6th International Conference on Document Analysis and Recognition, Seattle, WA, pp. 260–5.
Mooney R. J., 1996. Comparative experiments on disambiguating word senses: an illustration of the role of bias in machine learning. In Proceedings of the 1996 Conference on Empirical Methods in Natural Language Processing (EMNLP), Philadelphia, PA, pp. 82–91.
Navigli R., 2009. Word sense disambiguation: a survey. ACM Computing Surveys (CSUR) 41 (2): 1–69.
Navigli R., and Ponzetto S. P., 2010. BabelNet: building a very large multilingual semantic network. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, Uppsala, Sweden, pp. 216–25.
Navigli R., and Ponzetto S. P. 2012. Joining forces pays off: multilingual joint word sense disambiguation. In Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Jeju Island, South Korea, pp. 1399–410. Stroudsburg, PA: ACL.
Palmer M., Fellbaum C., Cotton S., Delfs L., and Dang H. T., 2001. English tasks: all-words and verb lexical sample. In Proceedings of SENSEVAL-2: 2nd International Workshop on Evaluating Word Sense Disambiguation Systems, Tolouse, France, pp. 21–4.
Ponzetto S. P. and Navigli R., 2010. Knowledge-rich word sense disambiguation rivaling supervised systems. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, Uppsala, Sweden, pp. 1522–32.
Porter M. F. 1980. An algorithm for suffix stripping. Program: Electronic Library and Information Systems 14 (3): 130–7 (MCB UP, West Yorkshire, UK).
Pradhan S., Loper E., Dligach D., and Palmer M., 2007. Semeval-2007 task-17: English lexical sample, SRL and all words. In Proceedings of the 4th International Workshop on Semantic Evaluations, Prague, Czech Republic, pp. 87–92.
Shannon C. E., 1951. Prediction and entropy of printed English. Bell System Technical Journal 30: 50–64.
Snyder B., and Palmer M., 2004. The English all-words task. In ACL 2004 Senseval-3 Workshop, Barcelona, Spain, pp. 41–3.
Srikant R., and Agrawal R., 1996. Mining quantitative association rules in large relational tables. In Proceedings of the 1996 ACM SIGMOD International Conference on Management of Data, Montreal, Canada, pp. 1–12.
Stevenson M., and Guo Y. 2010. Disambiguation in the biomedical domain: the role of ambiguity type. Journal of Biomedical Informatics 43 (6): 972–81 (Elsevier).
Tsatsaronis G., Vazirgiannis M., and Androutsopoulos I., 2007. Word sense disambiguation with spreading activation networks generated from thesauri. In Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, pp. 1725–30.
Veronis J. 2004. Hyperlex: lexical cartography for information retrieval. Computer Speech and Language 18 (3): 223–52 (Elsevier).
Weaver W. 1949. Translation. In Locke William N. and Booth A. Donald (eds.), Machine Translation of Languages: Fourteen Essays (written in 1949, published in 1955), pp. 15–23. New York, NY: John Wiley.
Wilks Y. 1975. Preference semantics. In Keenan E. L. (ed.), Formal Semantics of Natural Language, pp. 329–48. Cambridge, UK: Cambridge University Press.
Zhong Z., and Ng H. T., 2010. It makes sense: a wide-coverage word sense disambiguation system for free text. In Proceedings of the ACL 2010 System Demonstrations, Uppsala, Sweden, pp. 78–83.