publication . Article . Preprint . 2010

Mathematical Foundations for a Compositional Distributional Model of Meaning

Coecke, Bob; Sadrzadeh, Mehrnoosh; Clark, Stephen;
Open Access
  • Published: 23 Mar 2010 Journal: Lambek Festschirft, special issue of Linguistic Analysis, 2010., volume abs/1003.4394
  • Country: United Kingdom
Comment: to appear
arXiv: Computer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)
free text keywords: Computer Science - Computation and Language, Computer Science - Logic in Computer Science, Mathematics - Category Theory
20 references, page 1 of 2

[1] S. Abramsky and B. Coecke. A categorical semantics of quantum protocols. In Proceedings of the 19th Annual IEEE Symposium on Logic in Computer Science, pages 415-425. IEEE Computer Science Press, 2004. arXiv:quantph/0402130. [OpenAIRE]

[2] Jerome R. Bellegarda. Exploiting latent semantic information in statistical language modeling. Proceedings of the IEEE, 88(8):1279-1296, 2000.

[9] B. Coecke. Quantum picturalism. Contemporary physics, 51:59-83, 2010. arXiv:0908.1787.

[10] B. Coecke and E. O. Paquette. Categories for the practicing physicist. In B. Coecke, editor, New structures for physics, Lecture Notes in Physics, pages 167-271. Springer, 2010. arXiv:0905.3010.

[11] James R. Curran. From Distributional to Semantic Similarity. PhD thesis, University of Edinburgh, 2004.

[12] G. Denhire and B. Lemaire. A computational model of children's semantic memory. In Proceedings of the 26th Annual Meeting of the Cognitive Science Society, pages 297-302, Chicago, IL, 2004.

[13] D.R. Dowty, R.E. Wall, and S. Peters. Introduction to Montague Semantics. Dordrecht, 1981.

[14] Peter W. Foltz, Walter Kintsch, and Thomas K. Landauer. The measurement of textual coherence with latent semantic analysis. Discourse Process, 15:285-307, 1998.

[15] G. Gazdar. Paradigm merger in natural language processing. In R. Milner and I. Wand, editors, Computing Tomorrow: Future Research Directions in Computer Science, pages 88-109. Cambridge University Press, 1996. [OpenAIRE]

[24] T. K. Landauer and S. T. Dumais. A solution to Plato's problem: the latent semantic analysis theory of acquisition, induction and representation of knowledge. Psychological Review, 104(2):211-240, 1997. [OpenAIRE]

[25] Michael D. Lee, Brandon Pincombe, and Matthew Welsh. An empirical evaluation of models of text document similarity. In B.G. Bara, L.W. Barsalou, and M. Bucciarelli, editors, Proceedings of the 27th Annual Conference of the Cognitive Science Society, pages 1254-1259, Mahwah, NJ, 2005. Erlbaum.

[26] Dekang Lin. Automatic retrieval and clustering of similar words. In Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, pages 768-774, 1998.

[27] K. Lund and C. Burgess. Producing high-dimensional semantic spaces from lexical co-occurrence. Behavior Research Methods, Instruments & Computers, 28:203-208, 1996.

[28] Diana McCarthy, Rob Koeling, Julie Weeds, and John Carroll. Finding predominant senses in untagged text. In Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL-04), pages 280-287, Barcelona, Spain, 2004.

[34] J. R. Saffran, E. L. Newport, and R. N. Asling. Word segmentation: The role of distributional cues. Journal of Memory and Language, 35:606-621, 1999.

20 references, page 1 of 2
Any information missing or wrong?Report an Issue