2022 | ||
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Abstract visual reasoning with tangram puzzles. Anya Ji, Noriyuki Kojima*, Noah J. Rush*, Alane Suhr*, Wai Keen Vong, Robert Hawkins, and Yoav Artzi. In EMNLP. Best Long Paper Award |
data |
2021 | ||
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Analysis of language change in collaborative instruction following. Anna Effenberger, Rhia Singh*, Eva Yan*, Alane Suhr, and Yoav Artzi. In Findings of EMNLP. Also appeared at SCiL 2022. |
code |
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Crowdsourcing beyond annotation: Case studies in benchmark data collection. Alane Suhr, Clara Vania, Nikita Nangia, Maarten Sap, Mark Yatskar, Samuel R. Bowman, and Yoav Artzi. Tutorial presented at EMNLP. | ||
Continual learning for grounded instruction generation by observing human following behavior. Noriyuki Kojima, Alane Suhr, and Yoav Artzi. In TACL. |
code |
2020 | ||
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Exploring underexplored generalization challenges for cross-database semantic parsing. Alane Suhr, Ming-Wei Chang, Peter Shaw, and Kenton Lee. In ACL. |
code talk |
2019 | ||
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Executing instructions in situated collaborative interactions. Alane Suhr, Claudia Yan, Charlotte Schluger*, Stanley Yu*, Hadi Khader**, Marwa Mouallem**, Iris Zhang, and Yoav Artzi. In EMNLP. |
data web |
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A corpus for reasoning about natural language grounded in photographs. Alane Suhr*, Stephanie Zhou*, Ally Zhang, Iris Zhang, Huajuan Bai, and Yoav Artzi. In ACL. Also appeared at the 2017 AAAI Fall Symposium on Natural Communication for Human-Robot Collaboration. |
data web |
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Touchdown: Natural language navigation and spatial reasoning in visual street environments. Howard Chen, Alane Suhr*, Dipendra Misra, Noah Snavely, and Yoav Artzi. In CVPR. |
code |
2018 | ||
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Situated mapping of sequential instructions to actions with single-step reward observation. Alane Suhr and Yoav Artzi. In ACL. |
code talk |
Neural semantic parsing. Matt Gardner, Pradeep Dasigi, Srinivasan Iyer, Alane Suhr, and Luke Zettlemoyer. Tutorial presented at ACL. | ||
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Learning to map context-dependent sentences to executable formal queries. Alane Suhr, Srinivasan Iyer, and Yoav Artzi. In NAACL. Outstanding Paper Award |
code talk |
2017 | ||
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A corpus of natural language for visual reasoning. Alane Suhr, Mike Lewis, James Yeh, and Yoav Artzi. In ACL. Best Resource Paper Award Featured in AI Magazine and NLP Highlights. |
data web talk |