Choice of plausible alternatives: An evaluation of commonsense causal reasoning

AAAI Spring Symposium - Technical Report

Volumn SS-11-06, Issue , 2011, Pages 90-95

  Roemmele, Melissa ^a   Bejan, Cosmin Adrian ^b   Gordon, Andrew S ^b  

^a INDIANA UNIVERSITY   (United States)

^b University of Southern California   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING;

AUTHORING PROCESS; CAUSAL REASONING; COMMONSENSE REASONING; DESIGN DECISIONS; ENGLISH LANGUAGES; EVALUATION METRICS; NATURAL LANGUAGE PROCESSING; STATISTICAL NATURAL LANGUAGE PROCESSING;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 80051542005     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (29)

1. Ahn, W., Kalish, C., Medin, D., & Gelman, S. (1995) The role of covariation versus mechanism information in causal attribution, Cognition, 54(3): 299-352.
2. Church, K. & Hanks, P. (1989) Word Association Norms, Mutual Information, and Lexicography. Computational Linguistics, 16(1):22-29.
3. Davis, E. & Morgenstern, M. (2004) Introduction: Progress in formal commonsense reasoning. Artificial Intelligence 153(1-2):1-12.
4. Lenat, D. (1995) Cyc: A Large-Scale Investment in Knowledge Infrastructure. Communications of the ACM 38(11):33-38, November 1995.
5. Dice, L. (1945) Measures of the Amount of Ecologic Association Between Species. Journal of Ecology, 26:297-302.
6. Gerber, M., Gordon, A., & Sagae, K. (2010) Open-domain Commonsense Reasoning Using Discourse Relations from a Corpus of Weblog Stories. 1st International Workshop on Formalisms and Methodology for Learning by Reading (FAM-LbR) NAACL 2010 Workshop, Los Angeles, CA, June 6, 2010.
7. Gordon, A. & Swanson, R. (2009) Identifying Personal Stories in Millions of Weblog Entries. Third International Conference on Weblogs and Social Media, Data Challenge Workshop, San Jose, CA, May 20, 2009.
8. Harré, R. & Madden, E. (1975) Causal powers: a theory of natural necessity. Rowman & Littlefield, Totowa, NJ.
9. Hart, M. & Honore, A. (1985) Causation in the law. Oxford, England: Clarendon.
10. Hobbs, J. (2005) Toward a Useful Concept of Causality for Lexical Semantics. Journal of Semantics 22(2):181-209.
11. Lenat, D. (1995) Cyc: A Large-Scale Investment in Knowledge Infrastructure. Communications of the ACM 38(11):33-38.
12. Library of Congress Prints and Photographs Division. (1995). Thesaurus for graphic materials. Washington, DC: Library of Congress Distribution Service.
13. Lifschitz, V. (1998) Cracking an Egg: An Exercise in Commonsense Reasoning. Proceedings of Common Sense 98, January 1998.
14. Liu, H. & Singh, P. (2004) ConceptNet: A Practical Commonsense Reasoning Toolkit. BT Technology Journal 22(4):211-226.
15. Mackie, J. (1980) The Cement of the Universe - A Study of Causation. Oxford: Oxford University Press.
16. McCarthy, J. (1998) Elaboration Tolerance. 4th International Symposium on Logical Formalizations of Commonsense Reasoning.
17. Morgenstern, L. (2001) Mid-Sized Axiomatizations of Commonsense Problems: A Case Study in Egg Cracking, StudiaLogica, 67(3):333-384, 2001.
18. Morgenstern, L. (2005). A First-Order Axiomatization of the Surprise Birthday Present Problem: Preliminary Report. 7th International Symposium on Logical Formalizations of Commonsense Reasoning.
19. Morgenstern, L. (2011) Common Sense Problem Page. http://www-formal. stanford.edu/leora/commonsense/
20. Salmon, W. (1984) Scientific explanation and the causal structure of the world. Princeton University Press, Princeton, NJ.
21. Shanahan, M. (2004) An Attempt to Formalise a Non-Trivial Benchmark Problem in Common Sense Reasoning, Artificial Intelligence, 153(1-2):141-165.
22. Shoham, Y. (1990) Nonmonotonic reasoning and causation, Cognitive Science, 14(2): 213-252.
23. Shultz, T (1982) Rules of causal attribution. Monographs of the Society for Research in Child Development 47 (Serial No. 194).
24. Singer, M., Halldorson, M., Lear, J. & Andrusiak, P. (1992) Validation of causal bridging inferences in discourse understanding, Journal of Memory and Language, 31(4): 507-524.
25. Thompson, V. (1995) Conditional reasoning: the necessary and sufficient conditions. Canadian Journal of Experimental Psychology 49: 1-60.
26. Trabasso, T., Broek, P. & Suh, S. (1989) Logical necessity and transitivity of causal relations in stories. Discourse Processes, 12(1): 1-25.
27. Trabasso, T., Secco, T. & van den Broek, P. (1984) Causal cohesion and story coherence. In: Mandl, H., Stein, N.L. and Trabasso, T., Editors, 1984. Learning and comprehension of text, Erlbaum, Hillsdale, NJ.
28. Turney, P. (2001) Mining the Web for synonyms: PMI-IR versus LSA on TOEFL. 12th European Conference on Machine Learning (ECML), 491-502.
29. Warren, W., Nicholas, D., & Trabasso, T. (1979) Event chain and inferences in understanding narratives. In: Freedle, RO, Editor, 1979. New directions in discourse processing, Erlbaum, Hillsdale, NJ.