Berant, J., Chou, A., Frostig, R., and Liang, P. Semantic parsing on Freebase from question-answer pairs. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (Seattle, WA, Oct. 18--21). Association for Computational Linguistics, Stroudsburg, PA, 2013, 6.

Google Scholar

[5]

Fader, A., Zettlemoyer, L., and Etzioni, O. Open question answering over curated and extracted knowledge bases. In Proceedings of the 20^th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (New York, Aug. 24--27). ACM Press, New York, 2014.

Digital Library

Google Scholar

[6]

Grishman, R. and Sundheim, B. Message understanding Conference-6: A brief history. In Proceedings of the 16^th Conference on Computational Linguistics (Copenhagen, Denmark, Aug. 5--9). Association for Computational Linguistics, Stroudsburg, PA, 1996, 466--471.

Digital Library

Google Scholar

[7]

Kaggle. The Allen AI Science Challenge; https://www.kaggle.com/c/the-allen-ai-science-challenge

Google Scholar

[8]

Katz, B., Borchardt, G., and Felshin, S. Natural language annotations for question answering. In Proceedings of the 19^th International Florida Artificial Intelligence Research Society Conference (Melbourne Beach, FL, May 11--13). AAAI Press, Menlo Park, CA, 2006.

Google Scholar

[9]

Marcus, G., Rossi, F., and Veloso, M., Eds. Beyond the Turing Test. AI Magazine (Special Edition) 37, 1 (Spring 2016).

Google Scholar

[10]

Simmons, J. True Knowledge: The natural language question answering Wikipedia for facts. Semantic Focus (Feb. 26, 2008); http://www.semanticfocus.com/blog/entry/title/true-knowledge-the-natural-language-question-answering-wikipedia-for-facts/

Google Scholar

[11]

Turing, A.M. Computing machinery and intelligence. Mind59, 236 (Oct. 1950), 433--460.

Google Scholar

[12]

Turk, V. The plan to replace the Turing Test with a 'Turing Olympics' Motherboard (Jan. 28, 2015); https://motherboard.vice.com/en_us/article/the-plan-to-replace-the-turing-test-with-a-turing-olympics

Google Scholar

[13]

Voorhees, E. and Ellis, A., Eds. In Proceedings of the 24^th Text REtrieval Conference (Gaithersburg, MD, Nov. 17--20). Publication SP 500--319, National Institute of Standards and Technology, Gaithersburg, MD, 2015.

Google Scholar

[14]

Wolfram, S. Making the world's data computable. Stephen Wolfram Blog (Sept. 24, 2010); http://blog.stephenwolfram.com/2010/09/making-the-worlds-data-computable/

Google Scholar

[15]

Yao, X. and Van Durme, B. Information extraction over structured data: Question answering with Freebase. In Proceedings of the 52^nd Annual Meeting of the Association for Computational Linguistics (Baltimore, MD, June 22--27). Association for Computational Linguistics, Stroudsburg, PA, 2014, 956--966.

Google Scholar

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Communications of the ACM Volume 60, Issue 9

September 2017

94 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/3134526

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Andrew A. Chien
Association for Computing Machinery, New York, NY

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