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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"
50 / 395 papers shown
Title
Deep Learning Based Text Classification: A Comprehensive Review
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Yige Xu
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A Survey on Contextual Embeddings
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Matt J. Kusner
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Sentiment Analysis with Contextual Embeddings and Self-Attention
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ProGen: Language Modeling for Protein Generation
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Depth-Adaptive Graph Recurrent Network for Text Classification
Yijin Liu
Fandong Meng
Yufeng Chen
Jinan Xu
Jie Zhou
26
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29 Feb 2020
Squashed Shifted PMI Matrix: Bridging Word Embeddings and Hyperbolic Spaces
Z. Assylbekov
Alibi Jangeldin
9
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27 Feb 2020
Contextual Lensing of Universal Sentence Representations
J. Kiros
8
5
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20 Feb 2020
Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges
T. H. Le
Hao Chen
Muhammad Ali Babar
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Few-Shot Learning as Domain Adaptation: Algorithm and Analysis
Jiechao Guan
Zhiwu Lu
Tao Xiang
Ji-Rong Wen
11
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Joint Contextual Modeling for ASR Correction and Language Understanding
Yue Weng
Sai Sumanth Miryala
Chandra Khatri
Runze Wang
H. Zheng
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Mahdi Namazifar
Alexandros Papangelis
Hugh Williams
Franziska Bell
Gökhan Tür
8
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Generation-Distillation for Efficient Natural Language Understanding in Low-Data Settings
Luke Melas-Kyriazi
George Han
Celine Liang
14
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A Study of the Tasks and Models in Machine Reading Comprehension
Chao Wang
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13
1
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Multi-level Head-wise Match and Aggregation in Transformer for Textual Sequence Matching
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Yunshi Lan
Yi Tay
Jing Jiang
Jingjing Liu
ViT
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7
0
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Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits
Han Guo
Ramakanth Pasunuru
Mohit Bansal
12
114
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TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising
Ziyi Yang
Chenguang Zhu
R. Gmyr
Michael Zeng
Xuedong Huang
Eric Darve
15
61
0
03 Jan 2020
Learning and Evaluating Contextual Embedding of Source Code
Aditya Kanade
Petros Maniatis
Gogul Balakrishnan
Kensen Shi
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76
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21 Dec 2019
Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model
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Jingfei Du
William Yang Wang
Veselin Stoyanov
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Niels van der Heijden
Samira Abnar
Ekaterina Shutova
32
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Extracting clinical concepts from user queries
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J. Handley
6
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FlauBERT: Unsupervised Language Model Pre-training for French
Hang Le
Loïc Vial
Jibril Frej
Vincent Segonne
Maximin Coavoux
Benjamin Lecouteux
A. Allauzen
Benoît Crabbé
Laurent Besacier
D. Schwab
AI4CE
35
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Neural Machine Translation: A Review and Survey
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16
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27 Nov 2019
Semi-Supervised Learning for Text Classification by Layer Partitioning
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A. Sethy
20
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Word-Class Embeddings for Multiclass Text Classification
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A Transformer-based approach to Irony and Sarcasm detection
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Georgios Siolas
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Mathieu Constant
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Mark my Word: A Sequence-to-Sequence Approach to Definition Modeling
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14
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Deep Contextualized Self-training for Low Resource Dependency Parsing
Guy Rotman
Roi Reichart
13
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Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables
Zihan Liu
Jamin Shin
Yan Xu
Genta Indra Winata
Peng-Tao Xu
Andrea Madotto
Pascale Fung
17
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BP-Transformer: Modelling Long-Range Context via Binary Partitioning
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Distilling Knowledge Learned in BERT for Text Generation
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13
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MKD: a Multi-Task Knowledge Distillation Approach for Pretrained Language Models
Linqing Liu
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R. Socher
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4
21
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Ruminating Word Representations with Random Noised Masker
Hwiyeol Jo
Byoung-Tak Zhang
11
0
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SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge
Pei Ke
Haozhe Ji
Siyang Liu
Xiaoyan Zhu
Minlie Huang
17
7
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CoKE: Contextualized Knowledge Graph Embedding
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Pingping Huang
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Songtai Dai
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Yajuan Lyu
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14
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Muhammad Abdul-Mageed
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Ordered Memory
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Shawn Tan
Seyedarian Hosseini
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Evaluating the Factual Consistency of Abstractive Text Summarization
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Yunzhe Tao
Saurabh Gupta
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Xiong Zhou
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Vineet Khare
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A Probabilistic Framework for Learning Domain Specific Hierarchical Word Embeddings
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Conversational Transfer Learning for Emotion Recognition
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Detecting AI Trojans Using Meta Neural Analysis
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Nikita Borisov
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Investigating the Effectiveness of Representations Based on Word-Embeddings in Active Learning for Labelling Text Datasets
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Distilling BERT into Simple Neural Networks with Unlabeled Transfer Data
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Ahmed Hassan Awadallah
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Exploiting BERT for End-to-End Aspect-based Sentiment Analysis
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Wenxuan Zhang
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Better Document-Level Machine Translation with Bayes' Rule
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Laurent Sartran
Wojciech Stokowiec
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