Nouns are vectors, adjectives are matrices: Representing adjective-noun constructions in semantic space

EMNLP 2010 - Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference

Volumn , Issue , 2010, Pages 1183-1193

  Baroni, Marco ^a   Zamparelli, Roberto ^a  

^a UNIVERSITY OF TRENTO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CO-OCCURRENCE; SEMANTIC SPACE;

COMPUTATIONAL LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS; VECTORS;

VECTOR SPACES;

EID: 80053232678     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (34)

1. S. Clark and S. Pulman. 2007. Combining symbolic and distributional models of meaning. In Proceedings of the First Symposium on Quantum Interaction, pages 52-55. (Pubitemid 350293275)
2. B. Efron and R. Tibshirani. 1994. An Introduction to the Bootstrap. Chapman and Hall, Boca Raton, FL.
3. K. Erk and S. Padó. 2008. A structured vector space model for word meaning in context. In Proceedings of EMNLP, pages 897-906.
4. K. Erk and S. Padó. 2009. Paraphrase assessment in structured vector space: Exploring parameters and datasets. In Proceedings of the EACL GEMS Workshop, pages 57-65.
5. S. Evert. 2005. The Statistics of Word Cooccurrences. Dissertation, Stuttgart University.
6. P. Foltz, W. Kintsch, and Th. Landauer. 1998. The measurement of textual coherence with Latent Semantic Analysis. Discourse Processes, 25:285-307.
7. G. Frege. 1892. Ü ber sinn und bedeutung. Zeitschrift fuer Philosophie un philosophische Kritik, 100.
8. E. Guevara. 2010. A regression model of adjective-noun compositionality in distributional semantics. In Proceedings of the ACL GEMS Workshop, pages 33-37.
9. T. Hastie, R. Tibshirani, and J. Friedman. 2009. The Elements of Statistical Learning, 2nd ed. Springer, New York.
10. M. Jones and D. Mewhort. 2007. Representing word meaning and order information in a composite holographic lexicon. Psychological Review, 114:1-37.
11. H. Kamp. 1975. Two theories about adjectives. In E. Keenan, editor, Formal Semantics of Natural Language, pages 123-155. Cambridge University Press.
12. G. Karypis. 2003. CLUTO: A clustering toolkit. Technical Report 02-017, University of Minnesota Department of Computer Science.
13. W. Kintsch. 2001. Predication. Cognitive Science, 25(2):173-202.
14. Th. Landauer and S. Dumais. 1997. A solution to Plato's problem: The Latent Semantic Analysis theory of acquisition, induction, and representation of knowledge. Psychological Review, 104(2):211-240.
15. B. Mevik and R. Wehrens. 2007. The pls package: Principal component and partial least squares regression in R. Journal of Statistical Software, 18(2).
16. J. Mitchell and M. Lapata. 2008. Vector-based models of semantic composition. In Proceedings of ACL, pages 236-244.
17. J. Mitchell and M. Lapata. 2009. Language models based on semantic composition. In Proceedings of EMNLP, pages 430-439.
18. R. Montague. 1970a. English as a formal language. In B. Visentini, editor, Linguaggi nella Società e nella Tecnica, pages 189-224. Edizioni di Comunità, Milan. Reprinted in Thomason (1974).
19. R. Montague. 1970b. Universal grammar. Theoria, 36:373-398. Reprinted in Thomason (1974).
20. R. Montague. 1973. The proper treatment of quantification in English. In K.J.J. Hintikka, editor, Approaches to Natural Language, pages 221-242. Reidel, Dordrecht. Reprinted in Thomason (1974).
21. B. Partee. 2004. Compositionality. In Compositionality in Formal Semantics: Selected Papers by Barbara H. Partee. Blackwell, Oxford.
22. R. Rapp. 2003. Word sense discovery based on sense descriptor dissimilarity. In Proceedings of the MT Summit, pages 315-322.
23. H. Rubenstein and J. Goodenough. 1965. Contextual correlates of synonymy. Communications of the ACM, 8(10):627-633.
24. S. Rudolph and E. Giesbrecht. 2010. Compositional matrix-space models of language. In Proceedings of ACL.
25. M. Sahlgren, A. Holst, and P. Kanerva. 2008. Permutations as a means to encode order in word space. In Proceedings of CogSci, pages 1300-1305.
26. M. Sahlgren. 2006. The Word-Space Model. Dissertation, Stockholm University.
27. H. Schmid. 1995. Improvements in part-of-speech tagging with an application to German. In Proceedings of the EACL-SIGDAT Workshop.
28. H. Schütze. 1997. Ambiguity Resolution in Natural Language Learning. CSLI, Stanford, CA.
29. M. Siegel. 1976. Capturing the Adjective. Ph.D. thesis, University of Massachusetts at Amherst.
30. P. Smolensky. 1990. Tensor product variable binding and the representation of symbolic structures in connectionist networks. Artificial Intelligence, 46:159-216.
31. R. H. Thomason, editor. 1974. Formal Philosophy: Selected Papers of Richard Montague. Yale University Press, New York.
32. P. Turney and P. Pantel. 2010. From frequency to meaning: Vector space models of semantics. Journal of Artificial Intelligence Research, 37:141-188.
33. D. Widdows. 2008. Semantic vector products: Some initial investigations. In Proceedings of the Second Symposium on Quantum Interaction, Oxford.
34. Y. Zhao and G. Karypis. 2003. Criterion functions for document clustering: Experiments and analysis. Technical Report 01-40, University of Minnesota Department of Computer Science.