Abstract
Humans interact with each other using their collection of commonsense knowledge about everyday concepts and their relationships. To establish a similar natural form of interaction with computers, they should be given the same collection of knowledge. Various research works have focused on building large-scale commonsense knowledge that computers can use. But capturing and representing commonsense knowledge into a machine-usable repository, whether manual or automated, are still far from completion. This research explores an approach to acquiring commonsense knowledge through the use of children’s stories. Relation extraction templates are also utilized to store the learned knowledge into an ontology, which can then be used by automatic story generators and other applications with children as the target users.
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References
Liu, H., Singh, P., Lieberman, H., Barry, B.: Beating Commonsense into Interactive Applications. AI Magazine 25, 63–76 (2004)
Miller, G.A.: WordNet: A Lexical Database for English. Communications of the ACM 38(11), 39–41 (1995)
Lenat, D.B.: CYC - A Large-Scale Investment in Knowledge Infrastructure. Communications of the ACM 38(11), 33–38 (1995)
Havasi, C., Speer, R., Alonso, J.: ConceptNet 3 - A Flexible, Multilingual Semantic Network for Common Sense Knowledge. In: Proceedings of Recent Advances in Natural Language Processing (2007)
Kipper, K.S.: VerbNet: A Broad-Coverage, Comprehensive Verb Lexicon. Ph.D. Dissertation. University of Pennsylvania, Philadelphia (2005)
Liu, H., Singh, P.: Commonsense Reasoning in and Over Natural Language. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds.) KES 2004, Part III. LNCS (LNAI), vol. 3215, pp. 293–306. Springer, Heidelberg (2004)
Singh, P., Barry, B., Liu, H.: Teaching Machines about Everyday Life. BT Technology Journal 22(4), 227–240 (2004)
Herdagdelen, A., Baroni, M.: BagPack - A General Framework to Represent Semantic Relations. In: Proceedings of the EACL 2009 Geometrical Models for Natural Language Semantics Workshop, pp. 33–40. ACL, East Stroudsburg (2009)
Von Ahn, L., Dabbish, L.: Designing Games with a Purpose. Communications of the ACM 51(8), 58–67 (2008)
Bosch, A., Nauts, P., Eckha, N.: A Kids’ Open Mind Common Sense. In: Proceedings of the 2010 AAAI Fall Symposium Series on Common Sense Knowledge, pp. 114–119. AAAI Press, Virginia (2010)
Von Ahn, L., Kedia, M., Blum, M.: Verbosity: A Game for Collecting Common-Sense Facts. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 75–78. ACM, New York (2006)
Ong, E.: A Commonsense Knowledge Base for Generating Children’s Stories. In: Proceedings of the 2010 AAAI Fall Symposium Series on Common Sense Knowledge, pp. 82–87. AAAI, Virginia (2010)
Ang, K., Yu, S., Ong, E.: Theme-Based Cause-Effect Planning for Multiple-Scene Story Generation. In: Proceedings of the 2nd International Conference on Computational Creativity, Mexico City, Mexico, pp. 48–53 (April 2011)
Liu, H., Singh, P.: ConceptNet – A Practical Commonsense Reasoning Tool-kit. BT Technology Journal 22(4), 211–226 (2004)
Chua, A.M., Chua, R.C., Dychingching, A.V., Ang, T., Espiritu, J.L., Lim, N.R., Cheng, D.: Crowdsourcing through Social Gaming for Community-Driven Ontology Engineering, Results and Observations. In: Proceedings of the Fifth International Workshop on Ontology Matching, Shanghai, China, vol. 689, pp. 244–245. CEUR-WS.org (2010)
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Chua, R.C., Ong, E. (2012). Commonsense Knowledge Acquisition through Children’s Stories. In: Richards, D., Kang, B.H. (eds) Knowledge Management and Acquisition for Intelligent Systems. PKAW 2012. Lecture Notes in Computer Science(), vol 7457. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32541-0_21
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DOI: https://doi.org/10.1007/978-3-642-32541-0_21
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