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2012.15150
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Improving BERT with Syntax-aware Local Attention
Findings (Findings), 2020
30 December 2020
Zhongli Li
Qingyu Zhou
Chao Li
Ke Xu
Yunbo Cao
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Papers citing
"Improving BERT with Syntax-aware Local Attention"
24 / 24 papers shown
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Should We Attend More or Less? Modulating Attention for Fairness
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Semantic Composition in Visually Grounded Language Models
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Improve Retrieval-based Dialogue System via Syntax-Informed Attention
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
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Cross-modal Attention Congruence Regularization for Vision-Language Relation Alignment
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A Survey of Knowledge Enhanced Pre-trained Language Models
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Syntax-guided Localized Self-attention by Constituency Syntactic Distance
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AiM: Taking Answers in Mind to Correct Chinese Cloze Tests in Educational Applications
International Conference on Computational Linguistics (COLING), 2022
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Learning Program Representations with a Tree-Structured Transformer
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LyS_ACoruña at SemEval-2022 Task 10: Repurposing Off-the-Shelf Tools for Sentiment Analysis as Semantic Dependency Parsing
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Paying More Attention to Self-attention: Improving Pre-trained Language Models via Attention Guiding
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Type-Driven Multi-Turn Corrections for Grammatical Error Correction
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What BERT Based Language Models Learn in Spoken Transcripts: An Empirical Study
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Semantic Representation for Dialogue Modeling
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Yulong Chen
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Improving BERT Pretraining with Syntactic Supervision
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