Computing semantic compositionality in distributional semantics

Proceedings of the 9th International Conference on Computational Semantics, IWCS 2011

Volumn , Issue , 2011, Pages 135-144

  Guevara, Emiliano ^a  

^a UNIVERSITY OF OSLO   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; SUPERVISED LEARNING;

COMPLEX CONSTRUCTION; COMPLEX STRUCTURE; COMPOSITIONALITY; DISTRIBUTIONAL SEMANTICS; MULTIPLE REGRESSIONS; RANDOM INDEXING; SEMANTIC REPRESENTATION; SUPERVISED MACHINE LEARNING;

SEMANTICS;

EID: 84856197151     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. Abdi, H. (2007). Partial least squares regression. In N. Salkind (Ed.) Encyclopaedia of Measurement and Statistics. Thousand Oaks (CA), Sage.
2. Baroni, M. and A. Lenci. (2009). One semantic memory, many semantic tasks. In Proc. of the EACL Workshop on Geometrical Models of Natural Language Semantics, 3-11. Athens, ACL.
3. Baroni, M. and R. Zamparelli. (2010, to appear). Nouns are vectors, adjectives are matrices: Representing adjective-noun constructions in semantic space. In Proceedings of EMNLP 2010.
4. Burgess, C. and K. Lund. (1997). Modeling parsing constraints with high-dimensional context space. "Language and Cognitive Processes", 12, 177-210.
5. Clark, S. and S. Pulman. (2007). Combining symbolic and distributional models of meaning. In Proceedings of the AAAI Spring Symposium on Quantum Interaction, 52-55. Stanford (CA).
6. Giesbrecht, E. (2009). In Search of Semantic Compositionality in Vector Spaces. In Proceedings of ICCS 2009, Moscow, Russia, 173-184. Berlin, Springer.
7. Grefenstette, E. Bob Coecke, S Pulman, S. Clark and M. Sadrzadeh. (2010). Concrete Compositional Sentence Spaces. Talk presented at ESSLLI 2010, August 16-20, 2010, University of Copenhagen.
8. Guevara, E. (2010). A Regression Model of Adjective-Noun Compositionality in Distributional Semantics. In Proc. of the 2010 Workshop on Geometrical Models of Natural Language Semantics, 33-37. Uppsala, ACL.
9. Jurgens, D. and K. Stevens. (2010). The S-Space Package: An Open Source Package for Word Space Models. In Proceedings of the ACL 2010 System Demonstrations, 30-35. Uppsala, ACL.
10. Kintsch, W. 2001. Predication. "Cognitive Science", 25 (2), 173-202.
11. Mevik, B.-H. and R. Wehrens. (2007). The pls package: principal component and partial least squares regression in R. "Journal of Statistical Software", 18 (2), 1-24.
12. Mitchell, J. and M. Lapata. (2008). Vector-based Models of Semantic Composition. In Proceedings of the 46th Annual Meeting of the ACL, 236-244. Columbus, OH, ACL.
13. Pantel, P. (2005). Inducing ontological co-occurrence vectors. In Proceedings of the 43rd Conference of the ACL, 125-132. Morristown, ACL.
14. Partee, B.H., A. ter Meulen and R.E. Wall. (1990). Mathematical methods in linguistics. Dordrecht, Kluwer.
15. Plate, T.A. (1991). Holographic reduced representations: Convolution algebra for compositional distributed representations. In Proceedings of the 12th International Joint Conference on Artificial Intelligence, 30-35. Sydney.
16. Sahlgren, M. (2006). The Word Space Model. Ph.D. dissertation. Stockholm University.
17. Turney, P. and P. Pantel. (2010). From frequency to meaning: Vector space models of semantics. "Journal of Artificial Intelligence Research", 37, 141-188.
18. Widdows, D. (2004). Geometry and Meaning. Stanford, CSLI publications.
19. Widdows, D. (2008). Semantic Vector Products: Some Initial Investigations. Paper presented at the Second AAAI Symposium on Quantum Interaction. Oxford, 26th-28th March 2008.