Agirre, E., & Edmonds, P. G. (2006). Word sense disambiguation: algorithms and applications (). Dordrecht: Springer.
Anglin, J. M. (1977). Word, object, and conceptual development. New York: Norton.
Barsalou, L. W. (1983). Ad hoc categories. Memory & Cognition, 11 (3), 211–227.
Berlin, B., Breedlove, D. E., & Raven, P. H. (1973). General principles of classification and nomenclature in folk biology. American Anthropologist, 75 (1), 214–242.
Boon, T. den, & Geeraerts, D. (2005). Van Dale Groot woordenboek van de Nederlandse taal. Utrecht/Antwerpen: Van Dale Lexicografie bv.
Bouma, G., Van Noord, G., & Malouf, Robert (2001). Alpino: wide-coverage computational analysis of Dutch. In Daelemans, W., Sima’an, K., Veenstra, J., & Zavrel, J. (Eds.), Computational Linguistics in the Netherlands 2000. Selected Papers from the 11th CLIN Meeting (pp. 45–59). Amsterdam: Rodopi.
Cruse, D. A. (1977). The pragmatics of lexical specificity. Journal of Linguistics, 13 (2), 153–164.
Deerwester, S., Dumais, S. T., Furnas, G. W., Landauer, T. K., & Harshman, R. (1990). Indexing by latent semantic analysis. Journal of the American Society for Information Science, 41 (6), 391–407.
Erk, K. (2009). Representing words as regions in vector space. In Proceedings of the Thirteenth Conference on Computational Natural Language Learning (pp. 57–65). Association for Computational Linguistics, online: <http://aclweb.org/anthology//W/W09/W09-1109.pdf>. Erk, K., & Padó, S. (2010). Exemplar-based models for word meaning in context. In Proceedings of the ACL 2010 Conference short papers (pp. 92−97). Association for Computational Linguistics, online” <http://aclweb.org/anthology//P/P10/P10-2017.pdf>. Firth, J. R. (1957). A synopsis of linguistic theory, 1930−1955. In Firth, J. R. (Ed.), Studies in linguistic analysis (pp. 1−32). Oxford: Blackwell.
Geeraerts, D., Grondelaers, S., & Bakema, P. (1994). The structure of lexical variation: meaning, naming and context. New York: M. de Gruyter.
Harris, Z. S. (1954). Distributional structure. Word, 10, 146−162.
Jolicoeur, P., Gluck, M. A., & Kosslyn, S. M. (1984). Pictures and names: making the connection. Cognitive Psychology, 16, 243−275.
Lin, E. L., & Murphy, G. L. (1997). Effects of background knowledge on object categorization and part detection. Journal of Experimental Psychology: Human Perception and Performance, 23, 1153−1169.
Markman, A. B., & Wisniewski, E. J. (1997). Similar and different: the differentiation of basic-level categories. Journal of Experimental Psychology: Learning, Memory and Cognition, 23, 54−70.
Markman, E. M. (1985). Why superordinate category terms can be mass nouns. Cognition, 19, 31−53.
Mervis, C. B., & Crisafi, M. A. (1982). Order of acquisition of subordinate-level, basic-level and superordinate-level categories. Child Development, 53, 258−266.
Morris, M., & Murphy, G. L. (1990). Converging operations on a basic level in event taxonomies. Memory & Cognition, 18, 407−418.
Murphy, G. L. (2002). The big book of concepts. Cambridge, MA: MIT Press.
Murphy, G. L., & Brownell, H. H. (1985). Category differentiation in object recognition: typicality constraints on the basic category advantage. Journal of Experimental Psychology: Learning, Memory and Cognition, 11, 70−84.
Murphy, G. L., & Smith, E. E. (1982). Basic-level superiority in picture categorization. Journal of Verbal Learning and Verbal Behavior, 21, 1−20.
Peirsman, Y. (2010). Crossing corpora: modelling semantic similarity across languages and lects. .
Reddy, S., Klapaftis, I. P., McCarthy, D., & Manandhar, S. (2011). Dynamic and static prototype vectors for semantic composition. In Proceedings of 5th International Joint Conference on Natural Language Processing (pp. 705−713), online: <http://aclweb.org/anthology//I/I11/I11-1079.pdf>. Reisinger, J., & Mooney, R. J. (2010). Multi-prototype vector space models of word meaning. In Human Language Technologies: the 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics (pp. 109−117). Association for Computational Linguistics, online: <http://www.cs.utexas.edu/users/ml/papers/reisinger.naacl-2010.pdf>. Rosch, E., Mervis, C. B., Gray, W. D., Johnson, D. M., & Boyes-braem, P. (1976). Basic objects in natural categories. Cognitive Psychology, 8, 382−439.
Sagi, E., Kaufmann, S., & Clark, B. (2009). Semantic density analysis: comparing word meaning across time and phonetic space. In Proceedings of the Workshop on Geometrical Models of Natural Language Semantics (pp. 104−111). Athens: Association for Computational Linguistics.
Schütze, H. (1998). Automatic word sense discrimination. Computational Linguistics, 24, 97−123.
Tanaka, J., & Taylor, M. (1991). Object categories and expertise: Is the basic level in the eye of the beholder? Cognitive Psychology, 23, 457−482.
Turney, P. D., & Pantel, P. (2010). From frequency to meaning: vector space models of semantics. Journal of Artificial Intelligence Research, 37, 141−188.
Tversky, B., & Hemenway, K. (1983). Categories of environmental scenes. Cognitive Psychology, 15, 121−149.
Tversky, B., & Hemenway, K. (1984). Objects, parts and categories. Journal of Experimental Psychology: General, 113, 169−193.
Wisniewski, E. J., Imai, M., & Casey, L. (1996). On the equivalence of superordinate concepts. Cognition, 60, 269−298.
Wisniewski, E. J., & Murphy, G. L. (1989). Superordinate and basic category names in discourse. Discourse Processes, 12, 245−261.