Alane Suhr - Publications

Publications

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Working Papers

A corpus for reasoning about natural language grounded in photographs. Alane Suhr*, Stephanie Zhou*, Iris Zhang, Huajun Bai, and Yoav Artzi. ArXiv preprint. Presented at the 2018 Workshop on Visually Grounded Interaction and Language at NeurIPS.
[preprint] [data] [webpage] [slides]

2019

Touchdown: Natural language navigation and spatial reasoning in visual street environments. Howard Chen, Alane Suhr, Dipendra Misra, Noah Snavely, and Yoav Artzi. To appear in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
[preprint] [data]

2018

Situated mapping of sequential instructions to actions with single-step reward observation. Alane Suhr and Yoav Artzi. In Proceedings of the Conference of the Association for Computational Linguistics (ACL), 2018.
[paper] [bib] [code] [slides] [talk @ ACL]

Learning to map context-dependent sentences to executable formal queries. Alane Suhr, Srinivasan Iyer, and Yoav Artzi. In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2018.
[paper] [bib] [code] [slides] [talk @ NAACL]

Neural semantic parsing. Matt Gardner, Pradeep Dasigi, Srinivasan Iyer, Alane Suhr, and Luke Zettlemoyer. Tutorial at the Conference of the Association for Computational Linguistics (ACL), 2018.
[slides] [bib]

Evaluating visual reasoning through grounded language understanding. Alane Suhr, Mike Lewis, James Yeh, and Yoav Artzi. In AI Magazine, 2018.
[article]

2017

A corpus of natural language for visual reasoning. Alane Suhr, Mike Lewis, James Yeh, and Yoav Artzi. In Proceedings of the Conference of the Association for Computational Linguistics (ACL), 2017.
[paper] [bib] [supplementary] [data] [webpage]
[slides] [talk @ ACL] [interview @ NLP Highlights]

Visual reasoning with natural language. Stephanie Zhou*, Alane Suhr*, and Yoav Artzi. In AAAI Fall Symposium on Natural Communication for Human-Robot Collaboration, 2017.
[paper]

*Authors contributed equally.