Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks

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Weston, Jason; Bordes, Antoine; Chopra, Sumit; Rush, Alexander M.; van Merriënboer, Bart; Joulin, Armand; Mikolov, Tomas;
(2015)
  • Subject: Computer Science - Computation and Language | Statistics - Machine Learning | Computer Science - Artificial Intelligence

One long-term goal of machine learning research is to produce methods that are applicable to reasoning and natural language, in particular building an intelligent dialogue agent. To measure progress towards that goal, we argue for the usefulness of a set of proxy tasks ... View more
  • References (36)
    36 references, page 1 of 4

    Bache, K. and Lichman, M. UCI machine learning repository, 2013. http://archive.ics.uci.edu/ml.

    Berant, Jonathan, Chou, Andrew, Frostig, Roy, and Liang, Percy. Semantic parsing on freebase from question-answer pairs. In EMNLP, pp. 1533-1544, 2013.

    Berant, Jonathan, Srikumar, Vivek, Chen, Pei-Chun, Huang, Brad, Manning, Christopher D, Vander Linden, Abby, Harding, Brittany, and Clark, Peter. Modeling biological processes for reading comprehension. In Proc. EMNLP, 2014.

    Bordes, Antoine, Usunier, Nicolas, Collobert, Ronan, and Weston, Jason. Towards understanding situated natural language. In AISTATS, 2010.

    Bordes, Antoine, Usunier, Nicolas, Chopra, Sumit, and Weston, Jason. Large-scale simple question answering with memory networks. arXiv preprint arXiv:1506.02075, 2015.

    Chen, David L and Mooney, Raymond J. Learning to interpret natural language navigation instructions from observations. San Francisco, CA, pp. 859-865, 2011.

    Collobert, Ronan, Weston, Jason, Bottou, Le´on, Karlen, Michael, Kavukcuoglu, Koray, and Kuksa, Pavel. Natural language processing (almost) from scratch. The Journal of Machine Learning Research, 12:2493-2537, 2011.

    Curtis, Jon, Matthews, Gavin, and Baxter, David. On the effective use of cyc in a question answering system. In IJCAI Workshop on Knowledge and Reasoning for Answering Questions, pp. 61-70, 2005.

    Fader, Anthony, Zettlemoyer, Luke, and Etzioni, Oren. Paraphrase-driven learning for open question answering. In ACL, pp. 1608-1618, 2013.

    Fader, Anthony, Zettlemoyer, Luke, and Etzioni, Oren. Open question answering over curated and extracted knowledge bases. In Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 1156-1165. ACM, 2014.

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