Question asking as program generation

Advances in Neural Information Processing Systems

Volumn 2017-December, Issue , 2017, Pages 1047-1056

  Rothe, Anselm ^a   Lake, Brenden M ^a,b   Gureckis, Todd M ^a  

^a Department of Psychology ^*  (United States)

^b NEW YORK UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COGNITIVE MODEL; FORMAL PROGRAMS; HUMAN INTELLIGENCE; INFORMATIVE NESS; OPEN-ENDED QUESTIONS; PROGRAM GENERATION; QUESTION-ASKING; TRAINING SETS;

PROBABILITY DISTRIBUTIONS;

EID: 85046999920     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (25)

1. A. Bordes and J. Weston. Learning End-to-End Goal-Oriented Dialog. arXiv preprint, 2016.
2. M. M. Chouinard. Children's Questions: A Mechanism for Cognitive Development. Monographs of the Society of Research in Cognitive Development, 72(1):1-129, 2007.
3. J. A. Fodor. The Language of Thought. Harvard University Press, 1975.
4. J. A. Fodor and Z. W. Pylyshyn. Connectionism and cognitive architecture: A critical analysis. Cognition, 28:3-71, 1988.
5. N. D. Goodman, J. B. Tenenbaum, and T. Gerstenberg. Concepts in a probabilistic language of thought. In E. Margolis and S. Laurence, editors, Concepts: New Directions. MIT Press, Cambridge, MA, 2015.
6. J. Groenendijk and M. Stokhof. On the Semantics of Questions and the Pragmantics of Answers. PhD thesis, University of Amsterdam, 1984.
7. T. M. Gureckis and D. B. Markant. Active Learning Strategies in a Spatial Concept Learning Game. In Proceedings of the 31st Annual Conference of the Cognitive Science Society, 2009.
8. T. M. Gureckis and D. B. Markant. Self-Directed Learning: A Cognitive and Computational Perspective. Perspectives on Psychological Science, 7(5):464-481, 2012.
9. R. X. D. Hawkins, A. Stuhlmuller, J. Degen, and N. D. Goodman. Why do you ask? Good questions provoke informative answer. In Proceedings of the 37th Annual Conference of the Cognitive Science Society, 2015.
10. P. Jacobson. Compositional Semantics. Oxford University Press, 2014.
11. U. Jain, Z. Zhang, and A. Schwing. Creativity: Generating Diverse Questions using Variational Autoencoders. arXiv preprint, 2017.
12. J. Johnson, B. Hariharan, L. van der Maaten, J. Hoffman, L. Fei-fei, C. L. Zitnick, and R. Girshick. Inferring and Executing Programs for Visual Reasoning. In International Conference on Computer Vision, 2017.
13. B. M. Lake, R. Salakhutdinov, and J. B. Tenenbaum. Human-level concept learning through probabilistic program induction. Science, 350(6266):1332-1338, 2015.
14. B. M. Lake, T. D. Ullman, J. B. Tenenbaum, and S. J. Gershman. Building machines that learn and think like people. Behavioral and Brain Sciences, 2017.
15. G. F. Marcus. The Algebraic Mind: Integrating Connectionism and Cognitive Science. MIT Press, Cambridge, MA, 2003.
16. N. Mostafazadeh, I. Misra, J. Devlin, M. Mitchell, X. He, and L. Vanderwende. Generating Natural Questions About an Image. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, pages 1802-1813, 2016.
17. S. T. Piantadosi, J. B. Tenenbaum, and N. D. Goodman. Bootstrapping in a language of thought: A formal model of numerical concept learning. Cognition, 123(2):199-217, 2012.
18. C. Roberts. Information structure in discourse: Towards an integrated formal theory of pragmatics. Working Papers in Linguistics-Ohio State University Department of Linguistics, pages 91-136, 1996.
19. A. Rothe, B. M. Lake, and T. M. Gureckis. Asking and evaluating natural language questions. In A. Papafragou, D. Grodner, D. Mirman, and J. Trueswell, editors, Proceedings of the 38th Annual Conference of the Cognitive Science Society, Austin, TX, 2016.
20. I. V. Serban, A. Sordoni, Y. Bengio, A. Courville, and J. Pineau. Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models. In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016.
21. B. Settles. Active Learning. Morgan & Claypool Publishers, 2012.
22. F. Strub, d. V. Harm, J. Mary, B. Piot, A. Courville, and O. Pietquin. End-to-end optimization of goal-driven and visually grounded dialogue systems. In International Joint Conference on Artificial Intelligence (IJCAI), 2017.
23. A. K. Vijayakumar, M. Cogswell, R. R. Selvaraju, Q. Sun, S. Lee, D. Crandall, and D. Batra. Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models. arXiv preprint, 2016.
24. Y. Wang, J. Berant, and P. Liang. Building a Semantic Parser Overnight. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 1332-1342, 2015.
25. S. Young, M. Gašić, B. Thomson, and J. D. Williams. POMDP-based statistical spoken dialog systems: A review. Proceedings of the IEEE, 101(5):1160-1179, 2013.