One distributional memory, many semantic spaces

Proceedings of the EACL 2009 Workshop on GEMS: GEometrical Models of Natural Language Semantics, GEMS 2009

Volumn , Issue , 2009, Pages 1-8

  Baroni, Marco ^a   Lenci, Alessandro ^b  

^a UNIVERSITY OF TRENTO   (Italy)

^b UNIVERSITY OF PISA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

COGNITIVE SCIENCE; CORPUS-BASED; DISTRIBUTIONAL INFORMATION; ON DEMANDS; SEMANTIC SPACE; SEMANTIC TASKS; SPECIFIC SEMANTICS; STATE-OF-THE-ART PERFORMANCE;

EID: 85166968402     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. J. Curran and M. Moens. 2002. Improvements in automatic thesaurus extraction. Proceedings of the ACL Workshop on Unsupervised Lexical Acquisition, 59-66.
2. D. Dowty. 1977. Word meaning and Montague Grammar. Kluwer, Dordrecht.
3. K. Erk and S. Padó. 2008. A structured vector space model for word meaning in context. Proceedings of EMNLP 2008.
4. S. Evert. 2005. The statistics of word cooccurrences. Ph.D. dissertation, Stuttgart University, Stuttgart.
5. R. Girju, P. Nakov, V. Nastase, S. Szpakowicz, P. Turney and Y. Deniz. 2007. SemEval-2007 task 04: Classification of semantic relations between nominals. Proceedings of SemEval-2007, 13-18.
6. E. Joanis, S. Stevenson and D. James. 2008. A general feature space for automatic verb classification. Natural Language Engineering, 14(3): 337-367.
7. T.K. Landauer and S.T. 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.
8. B. Levin. 1993. English Verb Classes and Alternations. A Preliminary Investigation. Chicago, University of Chicago Press.
9. D. Lin. 1998. Automatic retrieval and clustering of similar words. Proceedings of ACL 1998, 768-774.
10. K. Lund and C. Burgess. 1996. Producing high-dimensional semantic spaces from lexical co-occurrence. Behaviour Research Methods, 28: 203-208.
11. S. Padó and M. Lapata. 2007. Dependency-based construction of semantic space models. Computational Linguistics, 33(2): 161-199.
12. S. Padó, S. Padó and K. Erk. 2007. Flexible, corpus-based modelling of human plausibility judgements. Proceedings EMNLP 2007, 400-409.
13. P. Pantel and M. Pennacchiotti. 2008. Automatically harvesting and ontologizing semantic relations. In P. Buitelaar and Ph. Cimiano (eds.), Ontology learning and population. IOS Press, Amsterdam.
14. T. Rogers and J. McClelland. 2004. Semantic cognition: A parallel distributed processing approach. The MIT Press, Cambridge.
15. H. Rubenstein and J.B. Goodenough. 1965. “Contextual correlates of synonymy”. Communications of the ACM, 8(10):627-633.
16. M. Sahlgren. 2006. The Word-space model. Ph.D. dissertation, Stockholm University, Stockholm.
17. P. Turney. 2006. Similarity of semantic relations. Computational Linguistics, 32(3): 379-416.
18. P. Turney. 2007. Empirical evaluation of four tensor decomposition algorithms. IIT Technical Report ERB-1152, National Research Council of Canada, Ottawa.
19. P. Turney. 2008. A uniform approach to analogies, synonyms, antonyms and associations. Proceedings of COLING 2008, 905-912.