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1
Trajectory Prediction with Linguistic Representations
Kuo, Yen-Ling; Huang, Xin; Barbu, Andrei. - : Center for Brains, Minds and Machines (CBMM), International Conference on Robotics and Automation (ICRA), 2022
BASE
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2
Universal Dependencies 2.9
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
BASE
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3
Universal Dependencies 2.8.1
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
BASE
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4
Universal Dependencies 2.8
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
BASE
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5
Compositional Networks Enable Systematic Generalization for Grounded Language Understanding
Kuo, Yen-Ling; Katz, Boris; Barbu, Andrei. - : Center for Brains, Minds and Machines (CBMM), Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
BASE
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6
Trajectory Prediction with Linguistic Representations ...
BASE
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7
Measuring Social Biases in Grounded Vision and Language Embeddings ...
NAACL 2021 2021; Barbu, Andrei; Katz, Boris. - : Underline Science Inc., 2021
BASE
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8
Compositional Networks Enable Systematic Generalization for Grounded Language Understanding ...
BASE
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9
Assessing Language Proficiency from Eye Movements in Reading
In: Association for Computational Linguistics (2021)
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10
Measuring Social Biases in Grounded Vision and Language Embeddings
Ross, Candace; Barbu, Andrei; Katz, Boris. - : Center for Brains, Minds and Machines (CBMM), Annual Conference of the North American Chapter of the Association for Computational Linguistics (HLT/NAACL), 2021
BASE
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11
Universal Dependencies 2.7
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
BASE
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12
Universal Dependencies 2.6
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
BASE
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13
Learning a natural-language to LTL executable semantic parser for grounded robotics
Wang, Christopher; Ross, Candace; Kuo, Yen-Ling. - : Center for Brains, Minds and Machines (CBMM), Conference on Robot Learning (CoRL), 2020
BASE
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14
Compositional Networks Enable Systematic Generalization for Grounded Language Understanding ...
BASE
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15
Learning a natural-language to LTL executable semantic parser for grounded robotics ...
BASE
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16
Measuring Social Biases in Grounded Vision and Language Embeddings ...
BASE
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17
Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas
Kuo, Yen-Ling; Katz, Boris; Barbu, Andrei. - : Center for Brains, Minds and Machines (CBMM), The Ninth International Conference on Learning Representations (ICLR), 2020
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18
Universal Dependencies 2.5
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2019
BASE
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19
Universal Dependencies 2.4
Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2019
BASE
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20
Universal Dependencies 2.3
Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018
BASE
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