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We show that explicit pragmatic inference aids in correctly generating and following natural language instructions for complex, sequential tasks.
Logic and conversation
H. P. Grice. 1975 · 1975
Earlier work this paper cites.
The HCRC map task corpus
Anne H. Anderson, Miles Bader, Ellen Gurman Bard, Elizabeth Boyle, Gwyneth Doherty, Simon Garrod, Stephen Isard, Jacqueline Kowtko, Jan McAllister, Jim Miller, et al. 1991 · 1991
Earlier work this paper cites.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
Earlier work this paper cites.
Using natural language generation in automatic route
Robert Dale, Sabine Geldof, and Jean-Philippe Prost. 2005 · 2005
Earlier work this paper cites.
Walk the talk: Connecting language, knowledge, and action in route instructions
Matt MacMahon, Brian Stankiewicz, and Benjamin Kuipers. 2006 · 2006
Earlier work this paper cites.
Cognitively-inspired direction giving
Gary Wai Keung Look. 2008 · 2008
Earlier work this paper cites.
Reinforcement learning for mapping instructions to actions
S.R.K. Branavan, Harr Chen, Luke S. Zettlemoyer, and Regina Barzilay. 2009 · 2009
Earlier work this paper cites.
Report on the first NLG challenge on generating instructions in virtual environments (GIVE)
Donna Byron, Alexander Koller, Kristina Striegnitz, Justine Cassell, Robert Dale, Johanna Moore, and Jon Oberlander. 2009 · 2009
Earlier work this paper cites.
Understanding the difficulty of training deep feedforward neural networks
Xavier Glorot and Yoshua Bengio. 2010 · 2010
Earlier work this paper cites.
A game-theoretic approach to generating spatial descriptions
Dave Golland, Percy Liang, and Dan Klein. 2010 · 2010
Earlier work this paper cites.
Report on the second NLG challenge on generating instructions in virtual environments (GIVE-2)
Alexander Koller, Kristina Striegnitz, Andrew Gargett, Donna Byron, Justine Cassell, Robert Dale, Johanna Moore, and Jon Oberlander. 2010 · 2010
Earlier work this paper cites.
Empirical Methods in Natural Language Generation: Data-oriented Methods and Empirical Evaluation
Emiel Krahmer and Mariët Theune, editors. 2010 · 2010
Earlier work this paper cites.
Learning to interpret natural language navigation instructions from observations
David L. Chen and Raymond J. Mooney. 2011 · 2011
Earlier work this paper cites.
Pragmatics
Christopher Potts. 2011 · 2011
Earlier work this paper cites.
Report on the second second challenge on generating instructions in virtual environments GIVE-2.5
Kristina Striegnitz, Alexandre Denis, Andrew Gargett, Konstantina Garoufi, Alexander Koller, and Mariët Theune. 2011 · 2011
Earlier work this paper cites.
Understanding natural language commands for robotic navigation and mobile manipulation
Stefanie Tellex, Thomas Kollar, Steven Dickerson, Matthew R. Walter, Ashis Gopal Banerjee, Seth Teller, and Nicholas Roy. 2011 · 2011
Cited alongside, same era.
Fast online lexicon learning for grounded language acquisition
David L Chen. 2012 · 2012
Cited alongside, same era.
Predicting pragmatic reasoning in language games
Michael C Frank and Noah D Goodman. 2012 · 2012
Cited alongside, same era.
Dart: A particle-based method for generating easy-to-follow directions
Robert Goeddel and Edwin Olson. 2012 · 2012
Cited alongside, same era.
Weakly supervised learning of semantic parsers for mapping instructions to actions
Yoav Artzi and Luke Zettlemoyer. 2013 · 2013
Cited alongside, same era.
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Later among the works it cites.
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Yarin Gal and Zoubin Ghahramani. 2016 · 2016
Later among the works it cites.
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Klaus Greff, Rupesh K Srivastava, Jan Koutník, Bas R Steunebrink, and Jürgen Schmidhuber. 2016 · 2016
Later among the works it cites.
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Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan. 2016 · 2016
Later among the works it cites.
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Later among the works it cites.
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Cited alongside, same era.
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Cited alongside, same era.
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Cited alongside, same era.
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Cited alongside, same era.
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Cited alongside, same era.
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Cited alongside, same era.
Later among the works it cites.
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