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1708.00107
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Learned in Translation: Contextualized Word Vectors
1 August 2017
Bryan McCann
James Bradbury
Caiming Xiong
R. Socher
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Papers citing
"Learned in Translation: Contextualized Word Vectors"
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Title
Deep Learning Based Text Classification: A Comprehensive Review
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Sentiment Analysis with Contextual Embeddings and Self-Attention
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Depth-Adaptive Graph Recurrent Network for Text Classification
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Fandong Meng
Jinan Xu
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31
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Squashed Shifted PMI Matrix: Bridging Word Embeddings and Hyperbolic Spaces
Z. Assylbekov
Alibi Jangeldin
14
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27 Feb 2020
Contextual Lensing of Universal Sentence Representations
J. Kiros
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20 Feb 2020
Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges
T. H. Le
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Few-Shot Learning as Domain Adaptation: Algorithm and Analysis
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Joint Contextual Modeling for ASR Correction and Language Understanding
Yue Weng
Sai Sumanth Miryala
Chandra Khatri
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Alexandros Papangelis
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Multi-level Head-wise Match and Aggregation in Transformer for Textual Sequence Matching
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Yunshi Lan
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Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits
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Ramakanth Pasunuru
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TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising
Ziyi Yang
Chenguang Zhu
R. Gmyr
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Xuedong Huang
Eric Darve
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Learning and Evaluating Contextual Embedding of Source Code
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Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model
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42
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Loïc Vial
Jibril Frej
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Maximin Coavoux
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AI4CE
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Neural Machine Translation: A Review and Survey
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28
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Deep Contextualized Self-training for Low Resource Dependency Parsing
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Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables
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Distilling Knowledge Learned in BERT for Text Generation
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Hwiyeol Jo
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19
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Pei Ke
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17
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Ordered Memory
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Distilling BERT into Simple Neural Networks with Unlabeled Transfer Data
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