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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 (1.423)
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72
Hits 81 – 100 of 1.423
81
Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions ...
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
;
Feder, Amir
;
Gat, Itai
. - : Underline Science Inc., 2021
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82
Evidence-based Factual Error Correction ...
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
;
Throne, James
;
Vlachos, Andreas
. - : Underline Science Inc., 2021
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83
SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images ...
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
;
Alam, Firoj
;
Bin Ali, Bishr
. - : Underline Science Inc., 2021
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84
A DQN-based Approach to Finding Precise Evidences for Fact Verification ...
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
;
Chen, Haicheng
;
Du, Jianfeng
. - : Underline Science Inc., 2021
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85
Embedding Time Differences in Context-sensitive Neural Networks for Learning Time to Event ...
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
;
Amiri, Hadi
;
Dehghani, Nazanin
. - : Underline Science Inc., 2021
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86
A Span-based Dynamic Local Attention Model for Sequential Sentence Classification ...
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
;
Shang, Xichen
. - : Underline Science Inc., 2021
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87
Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection ...
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
;
Kiela, Douwe
;
Talat, Zeerak
. - : Underline Science Inc., 2021
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88
2A: Sentiment Analysis, Stylistic Analysis, and Argument Mining #1 ...
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
. - : Underline Science Inc., 2021
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89
On Sample Based Explanation Methods for NLP: Faithfulness, Efficiency and Semantic Evaluation ...
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
;
Zhang, Wei
. - : Underline Science Inc., 2021
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90
How effective is BERT without word ordering? Implications for language understanding and data privacy ...
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
;
Hessel, Jack
;
Schofield, Alexandra
. - : Underline Science Inc., 2021
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91
GEM: Natural Language Generation, Evaluation, and Metrics - Part 4 ...
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
. - : Underline Science Inc., 2021
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92
The statistical advantage of automatic NLG metrics at the system level ...
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
;
Jia, Robin
;
Wei, Johnny
. - : Underline Science Inc., 2021
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93
Counter-Argument Generation by Attacking Weak Premises ...
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
;
Alshomary, Milad
. - : Underline Science Inc., 2021
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94
Supporting Cognitive and Emotional Empathic Writing of Students ...
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
;
Handschuh, Siegfried
;
Leimeister, Jan Marco
. - : Underline Science Inc., 2021
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95
What's in the Box? An Analysis of Undesirable Content in the Common Crawl Corpus ...
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
;
Luccioni, Sasha
;
Viviano, Joseph
. - : Underline Science Inc., 2021
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96
Are Pretrained Convolutions Better than Pretrained Transformers? ...
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
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Aribandi, Vamsi
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Bahri, Dara
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Dehghani, Mostafa
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Gupta, Jai
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Metzler, Donald
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Qin, zhenqin@google.com
;
Tay, Yi
. - : Underline Science Inc., 2021
Abstract:
Read paper: https://www.aclanthology.org/2021.acl-long.335 Abstract: In the era of pre-trained language models, Transformers are the de facto choice of model architectures. While recent research has shown promise in entirely convolutional, or CNN, architectures, they have not been explored using the pre-train-fine-tune paradigm. In the context of language models, are convolutional models competitive to Transformers when pre-trained? This paper investigates this research question and presents several interesting findings. Across an extensive set of experiments on 8 datasets/tasks, we find that CNN-based pre-trained models are competitive and outperform their Transformer counterpart in certain scenarios, albeit with caveats. Overall, the findings outlined in this paper suggest that conflating pre-training and architectural advances is misguided and that both advances should be considered independently. We believe our research paves the way for a healthy amount of optimism in alternative architectures. ...
Keyword:
Computational Linguistics
;
Condensed Matter Physics
;
Deep Learning
;
Electromagnetism
;
FOS Physical sciences
;
Information and Knowledge Engineering
;
Neural Network
;
Semantics
URL:
https://underline.io/lecture/26041-are-pretrained-convolutions-better-than-pretrained-transformersquestion
https://dx.doi.org/10.48448/y2n6-j616
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97
Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards? ...
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
;
., Jordan
;
Barrow, Joe
. - : Underline Science Inc., 2021
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98
Beyond Offline Mapping: Learning Cross-lingual Word Embeddings through Context Anchoring ...
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
;
Agirre, Eneko
;
Artetxe, Mikel
. - : Underline Science Inc., 2021
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99
Capturing Relations between Scientific Papers: An Abstractive Model for Related Work Section Generation ...
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
;
Chen, Xiuying
. - : Underline Science Inc., 2021
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100
Hate Speech Detection Based on Sentiment Knowledge Sharing ...
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
;
Zhou, Xianbing
. - : Underline Science Inc., 2021
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