Information retrieval with semantic memory model

Cognitive Systems Research

Volumn 14, Issue 1, 2012, Pages 84-100

  Szymański, Julian ^a   Duch, Włodzisław ^b,c  

^a GDANSK UNIVERSITY OF TECHNOLOGY   (Poland)

^b NICOLAUS COPERNICUS UNIVERSITY   (Poland)

^c NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL MODEL; HUMAN PERFORMANCE; HUMAN PLAYERS; LEXICAL KNOWLEDGE; NATURAL LANGUAGES; SEMANTIC MEMORY; SEMANTIC NETWORK; SEMANTIC REPRESENTATION; SEMANTIC SEARCH; SIMILARITY MEASURE; WORD GAMES;

ALGORITHMS; FEATURE EXTRACTION; LINGUISTICS;

INFORMATION RETRIEVAL;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; CONTROLLED STUDY; GAME; INTERPERSONAL COMMUNICATION; KNOWLEDGE; LANGUAGE ABILITY; LANGUAGE PROCESSING; LINGUISTICS; MATHEMATICAL COMPUTING; MEMORY CONSOLIDATION; PRIORITY JOURNAL; RECALL; SEMANTIC MEMORY;

EID: 82455171933     PISSN: None     EISSN: 13890417     Source Type: Journal    
DOI: 10.1016/j.cogsys.2011.02.002     Document Type: Article

References (46)

1. Ansorge U., Kiefer M., Khalid S., Grassl S., Knig P. Testing the theory of embodied cognition with subliminal words. Cognition 2010, 116:303-320.
2. Buckland M., Gey F. The relationship between recall and precision. Journal of the American Society for Information Science 1994, 45(1):12-19.
3. Burke D., MacKay D., Worthley J., Wade E. On the tip of the tongue: What causes word finding failures in young and older adults. Journal of Memory and Language 1991, 30(5):542-579.
4. Collins A., Loftus E. A spreading-activation theory of semantic processing. Psychological Review 1975, 82(6):407-428.
5. Collins A., Quillian M. Retrieval time from semantic memory. Journal of Verbal Learning and Verbal Behaviour 1969, 8:240-247.
6. Cullen J., Bryman A. The knowledge acquisition bottleneck: Time for reassessment?. Expert Systems 1988, 5(3):216-225.
7. Davis R., Shrobe H., Szolovits P. What is a knowledge representation?. AI Magazine 1993, 14(1):17-33.
8. DSM (1994). Diagnostic and statistical manual of mental disorders. American Psychiatric Association.
9. Duch W. What is computational intelligence and where is it going. Challenges for computational intelligence 2007, Vol. 63:1-13. Springer.
10. Duch W., Matykiewicz P., Pestian J. Neurolinguistic approach to natural language processing with applications to medical text analysis. Neural Networks 2008, 21(10):1500-1510.
11. Duch W., Szymański J. Semantic web: Asking the right questions. Proceedings of the 7 International Conference on Information and Management Sciences 2008, 1-8. California Polytechnic State University.
12. Feldman J.A. From molecule to metaphor: A neural theory of language 2006, MIT Press.
13. Forster K. Category size effects revisited: Frequency and masked priming effects in semantic categorization. Brain and Language 2004, 90(1-3):276-286.
14. Gleason J.B., Ratner N.B. Psycholinguistics 1997, Wadsworth Publishing. 2nd ed.
15. Goldberg D. Genetic algorithms in search, optimization and machine learning 1989, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, USA.
16. Guarino N., Poli R. Formal ontology, conceptual analysis and knowledge representation. International Journal of Human Computer Studies 1995, 43(5):625-640.
17. Hunston S. Word frequencies in written and spoken english: Based on the british national corpus. Language Awareness 2001, 11(2):152-157.
18. Lamb, S.M. (1999). Pathways of the brain: The neurocognitive basis of language (Vol. 170). John Benjamins Publishing Company.
19. Liu H., Singh P. ConceptNet. A practical commonsense reasoning tool-kit. BT Technology Journal 2004, 22(4):211-226.
20. Majewski, P., & Szymański, J. (2008). Text categorisation with semantic common sense knowledge: First results. bSpringer Lecture notes in computer science. In Proceedings of 14th int. conference on neural information processing (ICONIP07) (Vol. 4985, pp. 285-294).
21. Matykiewicz P., Pestian J., Duch W., Johnson N. Unambiguous concept mapping in radiology reports: Graphs of consistent concepts. AMIA Annual Symposium Proceedings 2006, 2006:1024-1031.
22. McClelland J., Rogers T. The parallel distributed processing approach to semantic cognition. Nature Reviews Neuroscience 2003, 4(4):310-322.
23. McNamara T. Semantic priming: Perspectives from memory and word recognition 2005, Psychology Press, UK.
24. McNamara T.P. Semantic priming: Perspectives from memory and word recognition 2005, Psychology Press, Taylor & Francis Group.
25. Miikkulainen R. Subsymbolic natural language processing: An integrated model of scripts, lexicon, and memory 1993, MIT Press, Cambridge, MA.
26. Miller G.A., Beckitch R., Fellbaum C., Gross D., Miller K. Introduction to WordNet: An on-line lexical database 1993, Princeton University Press.
27. Mitchell T., Shinkareva S., Carlson A., Chang K., Malave V., Mason R., et al. Predicting human brain activity associated with the meanings of nouns. Science 2008, 320(58-80):1191.
28. Ogden C., Richards I., Malinowski B., Crookshank F. The meaning of meaning 1949, Routledge & Kegan Paul.
29. Posner M., Keele S. On the genesis of abstract ideas. Journal of Experimental Psychology 1968, 77(3):353-630.
30. Pulvermnller F. The neuroscience of language on brain circuits of words and serial order 2003, Cambridge Uni. Press.
31. Qian, G., Sural, S., Gu, Y., & Pramanik, S. (2004). Similarity between Euclidean and cosine angle distance for nearest neighbor queries. In Proceedings of the 2004 ACM symposium on applied computing (pp. 1232-1237).
32. Quinlan J. Induction of decision trees. Machine Learning 1986, 1(1):81-106.
33. Rosch E. Natural categories. Cognitive Psychology 1973, 4(3):328-350.
34. Parallel distributed processing: Explorations in the microstructure of cognition 1986, MIT Press, Cambridge, MA. D.E. Rumelhart, J.L. McClelland (Eds.).
35. Smith E., Shoben E., Rips L. Structure and process in semantic memory: A featural model for semantic decisions. Psychological Review 1974, 81(3):214-241.
36. Sowa J. Principles of semantic networks: Explorations in the representation of knowledge. Representation and reasoning 1991, Morgan Kaufmann, San Mateo, CA.
37. Speer N.K., Reynolds J.R., Swallow K.M., Zacks J.M. Reading stories activates neural representations of perceptual and motor experiences. Psychological Science 2009, 20:989-999.
38. Staab S., Studer R. Handbook on ontologies 2004, Springer Verlag.
39. Szymański, J., Dusza, K., Byczkowski, L. (2007). Cooperative editing approach for building wordnet database. In: Proceedings of the XVI international conference on system science (pp. 448-457).
40. Szymański J., Sarnatowicz T., Duch W. Towards avatars with artificial minds: Role of semantic memory. Journal of Ubiquitous Computing and Intelligence 2007.
41. Tulving E., Bower G., Donaldson W. Organization of memory 1972, Academic Press, New York.
42. Vanderwende L., Kacmarcik G., Suzuki H., Menezes A. MindNet: An automatically-created lexical resource. Proceedings of HLT/EMNLP on Interactive Demonstrations 2005, 8-19.
43. Voss P. Essentials of general intelligence: The direct path to artificial general intelligence. Artificial general intelligence 2005, Springer, pp. 131-157.
44. Warren R. Time and the spread of activation in memory. Journal of Experimental Psychology: Human Learning and Memory 1977, 3(4):458-466.
45. Weizenbaum J. ELIZA - A computer program for the study of natural language communication between man and machine. Communications of the ACM 1966, 9(1):36-45.
46. Zadeh L. Fuzzy logic = computing with words. IEEE Transactions on Fuzzy Systems 1996, 4(2):103-111.