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1
Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ...
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Scaling Within Document Coreference to Long Texts ...
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Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ...
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4
Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ...
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5
Differentiable Subset Pruning of Transformer Heads ...
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How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact ...
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7
How Good Is NLP?A Sober Look at NLP Tasks through the Lens of Social Impact ...
Jin, Zhijing; Chauhan, Geeticka; Tse, Brian. - : ETH Zurich, 2021
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“Let Your Characters Tell Their Story”: A Dataset for Character-Centric Narrative Understanding ...
Brahman, Faeze; Huang, Meng; Tafjord, Oyvind. - : ETH Zurich, 2021
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9
Scaling Within Document Coreference to Long Texts ...
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10
Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations ...
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11
Differentiable subset pruning of transformer heads ...
Li, Jiaoda; Cotterell, Ryan; Sachan, Mrinmaya. - : ETH Zurich, 2021
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12
Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations ...
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13
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP
In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
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14
How Good Is NLP?A Sober Look at NLP Tasks through the Lens of Social Impact
In: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 (2021)
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15
Differentiable subset pruning of transformer heads
In: Transactions of the Association for Computational Linguistics, 9 (2021)
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16
Scaling Within Document Coreference to Long Texts
In: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 (2021)
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17
“Let Your Characters Tell Their Story”: A Dataset for Character-Centric Narrative Understanding
In: Findings of the Association for Computational Linguistics: EMNLP 2021 (2021)
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18
Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations
In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (2021)
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19
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP ...
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20
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines
In: http://infoscience.epfl.ch/record/288834 (2021)
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