An interface for targeted collection of common sense knowledge using a mixture model

International Conference on Intelligent User Interfaces, Proceedings IUI

Volumn , Issue , 2009, Pages 137-146

  Speer, Robert ^a   Krishnamurthy, Jayant ^a   Havasi, Catherine ^b   Smith, Dustin ^c   Lieberman, Henry ^c   Arnold, Kenneth ^c  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b BRANDEIS UNIVERSITY   (United States)

^c MIT MEDIA LAB   (United States)

Author keywords

Common sense reasoning; Hierarchical Bayes model; Human computation; Knowledge acquisition

Indexed keywords

COMMON SENSE REASONING; COMMONSENSE KNOWLEDGE; HIERARCHICAL BAYES MODEL; HUMAN COMPUTATION; MIXTURE MODEL; OPEN MIND; STATISTICAL CLASSIFICATION METHODS;

GAME THEORY; KNOWLEDGE BASED SYSTEMS; MERGERS AND ACQUISITIONS; USER INTERFACES;

KNOWLEDGE ACQUISITION;

EID: 70350214728     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1502650.1502672     Document Type: Conference Paper

References (33)

1. J. Anacleto, H. Lieberman, M. Tsutsumi, V. Neris, A. Carvalho, J. Espinosa, and S. Zem-Mascarenhas. Can common sense uncover cultural differences in computer applications? In Proceedings of IFIP World Computer Conference, Santiago, Chile, 2006.
2. S. Cass. Holiday gifts. IEEE Spectrum, 42(11), 2005.
3. D. Garcia, C. Havasi, and K. Todd. Interactively improving the OpenMind database: A game for interactive OpenMind inprovement (GIOMI). Media lab working paper, Massachusetts Institute of Technology, 2002.
4. P. Grice. Logic and conversation. In Speech Acts. Academic Press, 1975.
5. R. Gupta and K. Hennacy. Commonsense reasoning about task instructions. AAAI-05 Workshop on modular construction of human-like intelligence. Pittsburgh, PA, July, 10:05-08, 2005.
6. C. Havasi. Open Mind user test survey results. Personal communication, 2002.
7. C. Havasi. Discovering semantic relations using singular value decomposition based techniques. To appear at the NSF Symposium on Semantic Knowledge Discovery, Organization and Use, 2008.
8. C. Havasi, R. Speer, and J. Alonso. ConceptNet 3: a flexible, multilingual semantic network for common sense knowledge. In Recent Advances in Natural Language Processing, Borovets, Bulgaria, September 2007.
9. Y. Jung, J.-Y. Lee, Y. Kim, J. Park, S.-H. Myaeng, and H.-C. Rim. Building a Large-Scale Commonsense Knowledge Base by Converting an Existing One in a Different Language, pages 23-34. Springer, Heidelberg, 2007.
10. D. Lenat. CYC: A large-scale investment in knowledge infrastructure. Communications of the ACM, 11:33-38, 1995.
11. H. Lieberman, A. Faaborg, W. Daher, and J. Espinosa. How to wreck a nice beach you sing calm incense. Proceedings of the 10th international conference on intelligent user interfaces, Jan 2005.
12. H. Lieberman, H. Liu, P. Singh, and B. Barry. Beating common sense into interactive applications. AI Magazine, 25(4):63-76, 2004.
13. H. Lieberman, D. Smith, and A. Teeters. Common consensus: A web-based game for collecting commonsense goals. Workshop on Common Sense for Intelligent Interfaces ACM ⋯, Jan 2007.
14. T. Lin. Analogical inference over a common sense database. In Eighteenth national conference on Artificial intelligence, pages 955-956, Menlo Park, CA, USA, 2002. American Association for Artificial Intelligence.
15. H. Liu, H. Lieberman, and T. Selker. A model of textual affect sensing using real-world knowledge. In IUI '03: Proceedings of the 8th international conference on Intelligent user interfaces, pages 125-132, New York, NY, USA, 2003. ACM.
16. H. Liu and P. Singh. ConceptNet - a practical commonsense reasoning tool-kit. BT Technology Journal, Sep 2004.
17. M. K. Luis von Ahn and M. Blum. Verbosity: A game for collecting common-sense knowledge. In Proceedings of ACM Conference on Human Factors in Computing Systems, CHI, 2004.
18. J. McCarthy. Programs with common sense. In Proceedings of the Teddington Conference on the Mechanization of Thought Processes, pages 75-91, London, 1959. Her Majesty's Stationary Office.
19. M. Minsky. Society of Mind. Simon & Schuster, March 1988.
20. M. Minsky. The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind. Simon & Schuster, November 2006.
21. E. T. Mueller. Commonsense Reasoning. Morgan Kaufmann, 2006.
22. J. Orkin and D. Roy. The restaurant game: Learning social behavior and language from thousands of players online. Journal of Game Development, 3(1), 2007.
23. W. Pentney, A. Popescu, S. Wang, and H. KAUTZ. Sensor-based understanding of daily life via large-scale use of common sense. Proceedings of AAAI 2006, Jan 2006.
24. J. Pustejovsky. The Generative Lexicon. MIT Press, Cambridge, MA, 1998.
25. L. K. Schubert. Can we derive general world knowledge from texts? In Proceedings of the Human Language Technology Conference, pages 24-27, San Diego, CA, 2002.
26. P. Singh, T. Lin, E. T. Mueller, G. Lim, T. Perkins, and W. L. Zhu. Open Mind Common Sense: Knowledge acquisition from the general public. In On the Move to Meaningful Internet Systems, 2002 -DOA/CoopIS/ODBASE 2002 Confederated International Conferences DOA, CoopIS and ODBASE 2002, pages 1223-1237, London, UK, 2002. Springer-Verlag.
27. R. Speer. Learning common sense knowledge from user interaction and principal component analysis. MS Thesis. Massachusetts Institute of Technology, page 110, Aug 2007.
28. R. Speer, C. Havasi, and H. Lieberman. AnalogySpace: Reducing the dimensionality of common sense knowledge. Proceedings of AAAI 2008, July 2008.
29. L. von Ahn and L. Dabbish. Labeling images with a computer game. In Proceedings of ACM Conference on Human Factors in Computing Systems, CHI, 2004.
30. L. von Ahn and L. Dabbish. General techniques for designing games with a purpose. Communications of the ACM, August, 2008.
31. L. von Ahn, R. Liu, and M. Blum. Peekaboom: a game for locating objects in images. In CHI '06: Proceedings of the SIGCHI conference on Human Factors in computing systems, pages 55-64, New York, NY, USA, 2006. ACM.
32. M. Witbrock, C. Matuszek, A. Brusseau, R. Kahlert, C. B. Fraser, and D. Lenat. Knowledge begets knowledge: Steps towards assisted knowledge acquisition. In AAAI 2005 Spring Symposium on Knowledge Collection from Volunteer Contributors, 2005.
33. D. Wyatt, M. Philipose, and T. Choudhury. Unsupervised activity recognition using automatically mined common sense. Proceedings of AAAI 2005, Jan 2005.