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Sachan, Mrinmaya (25)
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The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021 (6)
Atzeni, Mattia (4)
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Hits 1 – 20 of 25
1
Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang ...
Keidar, Daphna
;
Opedal, Andreas
;
Jin, Zhijing
. - : arXiv, 2022
BASE
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2
Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Hou, Yifan
;
Sachan, Mrinmaya
. - : Underline Science Inc., 2022
BASE
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3
Bird's Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ...
Hou, Yifan
;
Sachan, Mrinmaya
. - : arXiv, 2021
BASE
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4
Scaling Within Document Coreference to Long Texts ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
McCallum, Andrew
;
Monath, Nicholas
;
Sachan, Mrinmaya
;
Shridhar, Kumar
;
Thirukovalluru, Raghuveer
;
Zaheer, Manzil
. - : Underline Science Inc., 2021
Abstract:
Read paper: https://www.aclanthology.org/2021.findings-acl.343 Abstract: State of the art end-to-end coreference resolution models use expensive span representations and antecedent prediction mechanisms. These approaches are expensive both in terms of their memory requirements as well as compute time, and are particularly ill-suited for long documents. In this paper, we propose an approximation to end-to-end models which scales gracefully to documents of any length. Replacing span representations with token representations, we reduce the time/memory complexity via token windows and nearest neighbor sparsification methods for more efficient antecedent prediction. We show our approach's resulting reduction of training and inference time compared to state-of-the-art methods with only a minimal loss in accuracy. ...
Keyword:
Computational Linguistics
;
Condensed Matter Physics
;
Deep Learning
;
Electromagnetism
;
FOS Physical sciences
;
Information and Knowledge Engineering
;
Neural Network
;
Semantics
URL:
https://dx.doi.org/10.48448/yb32-xp75
https://underline.io/lecture/26434-scaling-within-document-coreference-to-long-texts
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5
Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Hou, Yifan
;
Sachan, Mrinmaya
. - : Underline Science Inc., 2021
BASE
Show details
6
Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Hou, Yifan
;
Sachan, Mrinmaya
. - : Underline Science Inc., 2021
BASE
Show details
7
Differentiable Subset Pruning of Transformer Heads ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Cotterell, Ryan
;
Li, Jiaoda
. - : Underline Science Inc., 2021
BASE
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8
How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Chauhan, Geeticka
;
Jin, Zhijing
. - : Underline Science Inc., 2021
BASE
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9
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
BASE
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10
“Let Your Characters Tell Their Story”: A Dataset for Character-Centric Narrative Understanding ...
Brahman, Faeze
;
Huang, Meng
;
Tafjord, Oyvind
. - : ETH Zurich, 2021
BASE
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11
Scaling Within Document Coreference to Long Texts ...
Thirukovalluru, Raghuveer
;
Monath, Nicholas
;
Shridhar, Kumar
. - : ETH Zurich, 2021
BASE
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12
Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Atzeni, Mattia
;
Campbell, Murray
. - : Underline Science Inc., 2021
BASE
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13
Differentiable subset pruning of transformer heads ...
Li, Jiaoda
;
Cotterell, Ryan
;
Sachan, Mrinmaya
. - : ETH Zurich, 2021
BASE
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14
Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations ...
Murugesan, Keerthiram
;
Atzeni, Mattia
;
Kapanipathi, Pavan
. - : ETH Zurich, 2021
BASE
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15
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP
Vaidhya, Tejas
;
Sachan, Mrinmaya
;
von Kügelgen, Julius
...
In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
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16
How Good Is NLP?A Sober Look at NLP Tasks through the Lens of Social Impact
Tse, Brian
;
Jin, Zhijing
;
Mihalcea, Rada
...
In: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 (2021)
BASE
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17
Differentiable subset pruning of transformer heads
Li, Jiaoda
;
Cotterell, Ryan
;
Sachan, Mrinmaya
In: Transactions of the Association for Computational Linguistics, 9 (2021)
BASE
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18
Scaling Within Document Coreference to Long Texts
Monath, Nicholas
;
Shridhar, Kumar
;
Zaheer, Manzil
...
In: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 (2021)
BASE
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19
“Let Your Characters Tell Their Story”: A Dataset for Character-Centric Narrative Understanding
Zhao, Chao
;
Sachan, Mrinmaya
;
Tafjord, Oyvind
...
In: Findings of the Association for Computational Linguistics: EMNLP 2021 (2021)
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20
Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations
Sachan, Mrinmaya
;
Campbell, Murray
;
Kapanipathi, Pavan
...
In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (2021)
BASE
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