Analogy space: Reducing the dimensionality of common sense knowledge

Proceedings of the National Conference on Artificial Intelligence

Volumn 1, Issue , 2008, Pages 548-553

  Speer, Robert ^a   Havasi, Catherine ^b   Lieberman, Henry ^c  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b BRANDEIS UNIVERSITY   (United States)

^c MIT MEDIA LAB   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIONICS; INFORMATION THEORY;

COMMON SENSES; DIMENSIONALITY REDUCTIONS; KNOWLEDGE BASE; KNOWLEDGE BASES; SEMANTIC NETWORKS;

KNOWLEDGE BASED SYSTEMS;

EID: 57749202011     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. Banerjee, S., and Pedersen, T. 2003. Extended gloss overlaps as a measure of semantic relatedness. In "Eighteenth International Joint Conference on Artificial Intelligence ".
2. Chklovski, T. 2003. Learner: a system for acquiring common-sense knowledge by analogy. In K-CAP '03: Proceedings of the 2nd International Conference on Knowledge Capture, 4-12. New York, NY, USA: ACM Press.
3. Coursey, K. 2007. WAC: Weka and Cyc: Teaching Cyc to learn through self-recursive data mining. In Proceedings of the Workshop on Common Sense and Intelligent User Interfaces.
4. Deerwester, S. C.; Dumais, S. T.; Landauer, T. K.; Furnas, G. W.; and Harshman, R. A. 1990. Indexing by latent semantic analysis. Journal of the American Society of Information Science 41(6):391-407.
5. Eslick, I. 2006. Searching for Commonsense. Ph.D. Dissertation, MIT Media Lab.
6. Gupta, R., and Kochenderfer, M. J. 2004. Using statistical techniques and WordNet to reason with noisy data. In Workshop on Adaptive Text Extraction and Mining, Nineteenth National Conference on Artificial Intelligence (AAAI-04).
7. Havasi, C.; Speer, R.; and Alonso, J. 2007. ConceptNet 3: a flexible, multilingual semantic network for common sense knowledge. In Recent Advances in Natural Language Processing.
8. Lenat, D. 1995. Cyc: A large-scale investment in knowledge infrastructure. Communications of the ACM 11:33-38.
9. Lieberman, H.; Liu, H.; Singh, P.; and Barry, B. 2004. Beating common sense into interactive applications. AI Magazine 25(4):63-76.
10. Lieberman, H.; Faaborg, A.; Daher, W.; and Espinosa, J. 2005. How to wreck a nice beach you sing calm incense. In Proceedings of the 10th International Conference on Intelligent User Interfaces.
11. Liu, H., and Singh, P. 2004. ConceptNet: A practical common-sense reasoning toolkit. BT Technology Journal 22(4):211-226.
12. Patwardhan, S., and Pedersen, T. 2006. Using WordNet-based context vectors to estimate the semantic relatedness of concepts. In EACL 2006 Workshop Making Sense of Sense-Bringing Computational Linguistics and Psycholinguistics Together, 1-8.
13. Pustejovsky, J. 1998. The Generative Lexicon. Cambridge, MA: MIT Press.
14. Schubert, L. K. 2002. Can we derive general world knowledge from texts? In Proceedings of the Human Language Technology Conference.
15. Singh, P.; Lin, T.; Mueller, E. T.; Lim, G.; Perkins, T.; and Zhu, W. L. 2002. Open Mind Common Sense: Knowledge acquisition from the general public. In On the Move to Meaningful Internet Systems, 2002 - DOA/Coop IS/ODBASE 2002 Confederated International Conferences DOA, CoopIS and ODBASE 200 2, 1223-1237. London, UK: Springer-Verlag.
16. Speer, R. 2007. Open Mind Commons: An inquisitive approach to learning common sense. Proceedings of the Workshop on Common Sense and Interactive Applications.
17. Suh, S.; Halpin, H.; and Klein, E. 2006. Extracting common sense knowledge from Wikipedia. In Proc. of the ISWC2006 Workshop on Web Content Mining with Human Language Technology.
18. Turney, P. D. 2005. Measuring semantic similarity by latent relational analysis.
19. Wall, M. E.; Rechtsteiner, A.; and Rocha, L. M. 2003. A Practical Approach to Microarray Data Analysis. Norwell, MA: Kluwel. chapter 5, 91-109.
20. Witten, I. H., and Frank, E. 2005. Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann Series in Data Management Systems. Morgan Kaufmann, second edition.