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attention mechanism
4001 papers
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Also known as
AM
ATTENTION
Co-occurring keywords
neural network
(6616)
convolutional neural network
(4226)
multimodal learning
(4645)
transformer architecture
(1560)
graph neural network
(3962)
recurrent neural network
(1790)
text classification
(6793)
representation learning
(6206)
large language model
(13587)
neural machine translation
(2310)
Papers
Hard-Coded Gaussian Attention for Neural Machine Translation
ACL 2020
TVQA+: Spatio-Temporal Grounding for Video Question Answering
ACL 2020
Location Attention for Extrapolation to Longer Sequences
ACL 2020
Towards Transparent and Explainable Attention Models
ACL 2020
ERASER: A Benchmark to Evaluate Rationalized NLP Models
ACL 2020
Learning to Deceive with Attention-Based Explanations
ACL 2020
Adaptive Transformers for Learning Multimodal Representations
ACL 2020
HGCN4MeSH: Hybrid Graph Convolution Network for MeSH Indexing
ACL 2020
Metaphor Detection using Ensembles of Bidirectional Recurrent Neural Networks
ACL 2020
Exploring Contextual Word-level Style Relevance for Unsupervised Style Transfer
ACL 2020
Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-way Attentions of Auto-analyzed Knowledge
ACL 2020
Distinguish Confusing Law Articles for Legal Judgment Prediction
ACL 2020
Neural Temporal Opinion Modelling for Opinion Prediction on Twitter
ACL 2020
Enriched In-Order Linearization for Faster Sequence-to-Sequence Constituent Parsing
ACL 2020
Being neighbourly: Neural metaphor identification in discourse
ACL 2020
Do Transformers Need Deep Long-Range Memory?
ACL 2020
Self-Attention Guided Copy Mechanism for Abstractive Summarization
ACL 2020
Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling
ACL 2020
Embarrassingly Simple Unsupervised Aspect Extraction
ACL 2020
Challenges in Emotion Style Transfer: An Exploration with a Lexical Substitution Pipeline
ACL 2020
Context-Aware Answer Extraction in Question Answering
EMNLP 2020
Octa: Omissions and Conflicts in Target-Aspect Sentiment Analysis
EMNLP 2020
Attending to Long-Distance Document Context for Sequence Labeling
EMNLP 2020
Why and when should you pool? Analyzing Pooling in Recurrent Architectures
EMNLP 2020
On the Computational Power of Transformers and Its Implications in Sequence Modeling
EMNLP 2020
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