Evaluating Neighbor Rank and Distance Measures as Predictors of Semantic Priming

CMCL 2013 - Cognitive Modeling and Computational Linguistics, Proceedings of the Workshop

Volumn , Issue , 2013, Pages 66-74

  Lapesa, Gabriella ^a   Evert, Stefan ^b  

^a UNIVERSITY OF OSNABRÜCK   (Germany)

^b UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS;

BAG OF WORDS; BEHAVIORAL DATA; DISTANCE MEASURE; DISTRIBUTIONAL MODELS; EVALUATION STUDY; LARGE-SCALES; LATENCY TIME; MODELING PARAMETERS; SEMANTIC PRIMINGS; SEMANTIC RELATEDNESS;

PARAMETER ESTIMATION;

EID: 84910022692     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (25)

1. Marco Baroni and Alessandro Lenci. 2010. Distributional memory: A general framework for corpus-based semantics. Computational Linguistics, 36(4):1-49.
2. Marco Baroni and Alessandro Lenci. 2011. How we blessed distributional semantic evaluation. In Proceedings of the GEMS 2011 Workshop on GEometrical Models of Natural Language Semantics, GEMS'11, pages 1-10. Association for Computational Linguistics.
3. John A. Bullinaria and Joseph P. Levy. 2007. Extracting semantic representations from word co-occurrence statistics: A computational study. Behavior Research Methods, 39:510-526.
4. John A. Bullinaria and Joseph P. Levy. 2012. Extracting semantic representations from word co-occurrence statistics: stop-lists, stemming and svd. Behavior Research Methods, 44:890-907.
5. Stefan Evert. 2004. The Statistics of Word Cooccurrences: Word Pairs and Collocations. Ph.D. thesis, IMS, University of Stuttgart.
6. Todd Ferretti, Ken McRae, and Ann Hatherell. 2001. Integrating verbs, situation schemas, and thematic role concepts. Journal of Memory and Language, 44(4):516-547.
7. Thomas L. Griffiths, Mark Steyvers, and Joshua B. Tenenbaum. 2007. Topics in semantic representation. Psychological Review, 114:211-244.
8. Nathan Halko, Per-Gunnar Martinsson, and Joel A. Tropp. 2009. Finding structure with randomness: Stochastic algorithms for constructing approximate matrix decompositions. Technical Report 2009-05, ACM, California Institute of Technology.
9. Mary Hare, Michael Jones, Caroline Thomson, Sarah Kelly, and Ken McRae. 2009. Activating event knowledge. Cognition, 111(2):151-167.
10. Zelig Harris. 1954. Distributional structure. Word, 10(23):146-162.
11. Amac Herdağdelen, Marco Baroni, and Katrin Erk. 2009. Measuring semantic relatedness with vector space models and random walks. In Proceedings of the 2009 Workshop on Graph-based Methods for Natural Language Processing, pages 50-53.
12. Keith A. Hutchinson, David A. Balota, Michael J. Cortese, and Jason M. Watson. 2008. Predicting semantic priming at the item level. The Quarterly Journal of Experimental Psychology, 61(7):1036-1066.
13. Michael Jones and Douglas Mewhort. 2007. Representing word meaning and order information in a composite holographic lexicon. Psychological Review, 114:1-37.
14. Thomas K. Landauer and Susan T. Dumais. 1997. A solution to Plato's problem: The latent semantic analysis theory of the acquisition, induction, and representation of knowledge. Psychological Review, 104:211-240.
15. Will Lowe and Scott McDonald. 2000. The direct route: mediated priming in semantic space. Technical report, Division of Informatics, University of Edinburgh.
16. Scott McDonald and Chris Brew. 2004. A distributional model of semantic context effects in lexical processing. In Proceedings of ACL-04, pages 17-24.
17. Gain McKoon and Roger Ratcliff. 1992. Spreading activation versus compound cue accounts of priming: Mediated priming revisited. Journal of Experimental Psychology: Learning, Memory and Cognition, 18:1155-1172.
18. Ken McRae and Kazunaga Matzuki. 2009. People use their knowledge of common events to understand language, and do so as quickly as possible. Language and Linguistics Compass, 3(6):1417-1429.
19. Ken McRae, Mary Hare, Jeffrey L. Elman, and Todd Ferretti. 2005. A basis for generating expectancies for verbs from nouns. Memory & Cognition, 33(7):1174-1184.
20. Jeff Mitchell and Mirella Lapata. 2008. Vector-based models of semantic composition. In Proceedings of ACL-08: HLT, pages 236-244, Columbus, Ohio.
21. Sebastian Padó and Mirella Lapata. 2007. Dependency-based construction of semantic space models. Computational Linguistics, 33(2):161-199.
22. Magnus Sahlgren. 2005. An introduction to random indexing. In Proceedings of the Methods and Applications of Semantic Indexing Workshop at the 7th International Conference on Terminology and Knowledge Engineering, TKE 2005.
23. Magnus Sahlgren. 2006. The Word-Space Model: Using distributional analysis to represent syntagmatic and paradigmatic relations between words in high-dimensional vector spaces. Ph.D. thesis, University of Stockolm.
24. Peter D. Turney and Patrick Pantel. 2010. From frequency to meaning: Vector space models of semantics. Journal of Artificial Intelligence Research, 37:141-188.
25. Amos Tversky. 1977. Features of similarity. Psychological Review, 84:327-352.