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Simple Search
Hits 1 – 12 of 12
1
Analysis of Language Change in Collaborative Instruction Following ...
Effenberger, Anna
;
Yan, Eva
;
Singh, Rhia
. - : University of Massachusetts Amherst, 2022
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2
Analysis of Language Change in Collaborative Instruction Following
Effenberger, Anna
;
Yan, Eva
;
Singh, Rhia
...
In: Proceedings of the Society for Computation in Linguistics (2022)
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3
Analysis of Language Change in Collaborative Instruction Following ...
Effenberger, Anna
;
Yan, Eva
;
Singh, Rhia
. - : arXiv, 2021
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4
Analysis of Language Change in Collaborative Instruction Following ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Artzi, Yoav
;
Effenberger, Anna
. - : Underline Science Inc., 2021
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5
Continual Learning for Grounded Instruction Generation by Observing Human Following Behavior ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Artzi, Yoav
;
Kojima, Noriyuki
. - : Underline Science Inc., 2021
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6
Evaluating Models' Local Decision Boundaries via Contrast Sets ...
Gardner, Matt
;
Artzi, Yoav
;
Basmova, Victoria
. - : arXiv, 2020
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7
What is Learned in Visually Grounded Neural Syntax Acquisition ...
Kojima, Noriyuki
;
Averbuch-Elor, Hadar
;
Rush, Alexander M.
. - : arXiv, 2020
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8
A Corpus for Reasoning About Natural Language Grounded in Photographs ...
Suhr, Alane
;
Zhou, Stephanie
;
Zhang, Ally
;
Zhang, Iris
;
Bai, Huajun
;
Artzi, Yoav
. - : arXiv, 2018
Abstract:
We introduce a new dataset for joint reasoning about natural language and images, with a focus on semantic diversity, compositionality, and visual reasoning challenges. The data contains 107,292 examples of English sentences paired with web photographs. The task is to determine whether a natural language caption is true about a pair of photographs. We crowdsource the data using sets of visually rich images and a compare-and-contrast task to elicit linguistically diverse language. Qualitative analysis shows the data requires compositional joint reasoning, including about quantities, comparisons, and relations. Evaluation using state-of-the-art visual reasoning methods shows the data presents a strong challenge. ... : ACL 2019 Long Paper ...
Keyword:
Computation and Language cs.CL
;
Computer Vision and Pattern Recognition cs.CV
;
FOS Computer and information sciences
URL:
https://arxiv.org/abs/1811.00491
https://dx.doi.org/10.48550/arxiv.1811.00491
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9
Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments ...
Chen, Howard
;
Suhr, Alane
;
Misra, Dipendra
. - : arXiv, 2018
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10
Mapping Instructions and Visual Observations to Actions with Reinforcement Learning ...
Misra, Dipendra
;
Langford, John
;
Artzi, Yoav
. - : arXiv, 2017
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11
Situated Learning and Understanding of Natural Language
Artzi, Yoav
. - 2015
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12
Learning to Automatically Solve Algebra Word Problems
Kushman, Nate
;
Artzi, Yoav
;
Zettlemoyer, Luke
...
In: MIT web domain (2014)
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