Alane Suhr

Publications

*, ** indicate equal contribution.
2022
A Tangram puzzle showing an abstract figure labeled \ Abstract visual reasoning with tangram puzzles. Anya Ji, Noriyuki Kojima*, Noah J. Rush*, Alane Suhr*, Wai Keen Vong, Robert Hawkins, and Yoav Artzi. To appear in EMNLP. data
2021
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
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
Exploring underexplored generalization challenges for cross-database semantic parsing. Alane Suhr, Ming-Wei Chang, Peter Shaw, and Kenton Lee. In ACL. code
talk
2019
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
Two images of dogs, plus an NLVR2 caption beneath. The left image contains two dogs standing in sand; the right image contains a single dog standing on grass. The NLVR2 caption is: \ 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
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
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.
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

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