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Recurrent neural networks (RNN), convolutional neural networks (CNN) and self-attention networks (SAN) are commonly used to produce context-aware representations.
Long short-term memory
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Hybrid speech recognition with deep bidirectional lstm
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Recursive deep models for semantic compositionality over a sentiment treebank
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The meaning factory: Formal semantics for recognizing textual entailment and determining semantic similarity
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Empirical evaluation of gated recurrent neural networks on sequence modeling
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Yoon Kim · 2014
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D. Manning · 2014
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Grounded compositional semantics for finding and describing images with sentences
Richard Socher, Andrej Karpathy, Quoc V Le, Christopher D Manning, and Andrew Y Ng · 2014
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Dropout: a simple way to prevent neural networks from overfitting
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Adam: A method for stochastic optimization
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Ryan Kiros, Yukun Zhu, Ruslan R Salakhutdinov, Richard Zemel, Raquel Urtasun, Antonio Torralba, and Sanja Fidler · 2015
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Molding cnns for text: non-linear, non-consecutive convolutions
Order-embeddings of images and language
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Multi-perspective context matching for machine comprehension
Zhiguo Wang, Haitao Mi, Wael Hamza, and Radu Florian · 2016
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Hierarchical attention networks for document classification
Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alexander J Smola, and Eduard H Hovy · 2016
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Recurrent neural network-based sentence encoder with gated attention for natural language inference
Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang, and Diana Inkpen · 2017
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More is less: A more complicated network with less inference complexity
Xuanyi Dong, Junshi Huang, Yi Yang, and Shuicheng Yan · 2017
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Tao Lei, Regina Barzilay, and Tommi Jaakkola · 2015
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A neural attention model for abstractive sentence summarization
Alexander M Rush, Sumit Chopra, and Jason Weston · 2015
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Neural responding machine for short-text conversation
Lifeng Shang, Zhengdong Lu, and Hang Li · 2015
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End-to-end memory networks
Sainbayar Sukhbaatar, Jason Weston, Rob Fergus, et al · 2015
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Improved semantic representations from tree-structured long short-term memory networks
Kai Sheng Tai, Richard Socher, and Christopher D Manning · 2015
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Self-adaptive hierarchical sentence model
Han Zhao, Zhengdong Lu, and Pascal Poupart · 2015
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A fast unified model for parsing and sentence understanding
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Ruminating reader: Reasoning with gated multi-hop attention
Yichen Gong and Samuel R Bowman · 2017
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Reinforced mnemonic reader for machine comprehension
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Structured attention networks
Yoon Kim, Carl Denton, Luong Hoang, and Alexander M Rush · 2017
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Structural attention neural networks for improved sentiment analysis
Filippos Kokkinos and Alexandros Potamianos · 2017
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Tao Lei and Yu Zhang · 2017
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End-to-end adversarial memory network for cross-domain sentiment classification
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A structured self-attentive sentence embedding
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Linguistically regularized lstms for sentiment classification
Qiao Qian, Minlie Huang, and Xiaoyan Zhu · 2017
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Disan: Directional self-attention network for rnn/cnn-free language understanding
Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Shirui Pan, and Chengqi Zhang · 2017
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Bidirectional tree-structured lstm with head lexicalization
Zhiyang Teng and Yue Zhang · 2017
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Attention is all you need
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Gated self-matching networks for reading comprehension and question answering
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