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This paper tackles the reduction of redundant repeating generation that is often observed in RNN-based encoder-decoder models.
Long Short-Term Memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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A tutorial on support vector regression
Alex J Smola and Bernhard Schölkopf · 2004
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DUC in context
Paul Over, Hoa Dang, and Donna Harman · 2007
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Deep Sparse Rectifier Neural Networks
Xavier Glorot, Antoine Bordes, and Yoshua Bengio · 2011
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Maxout Networks
Ian J. Goodfellow, David Warde-Farley, Mehdi Mirza, Aaron C. Courville, and Yoshua Bengio · 2013
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Sequence to Sequence Learning with Neural Networks
Ilya Sutskever, Oriol Vinyals, and Quoc V. Le · 2014
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Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
Kyunghyun Cho, Bart van Merrienboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014
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Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2014
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Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung, Çaglar Gülçehre, KyungHyun Cho, and Yoshua Bengio · 2014
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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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Effective Approaches to Attention-based Neural Machine Translation
Thang Luong, Hieu Pham, and Christopher D. Manning · 2015
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Modeling Coverage for Neural Machine Translation
Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, and Hang Li · 2016
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Coverage embedding models for neural machine translation
Controlling output length in neural encoder-decoders
Yuta Kikuchi, Graham Neubig, Ryohei Sasano, Hiroya Takamura, and Manabu Okumura · 2016
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Neural headline generation on abstract meaning representation
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Neural headline generation with minimum risk training
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Google’s neural machine translation system: Bridging the gap between human and machine translation
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Haitao Mi, Baskaran Sankaran, Zhiguo Wang, and Abe Ittycheriah · 2016
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Abstractive Sentence Summarization with Attentive Recurrent Neural Networks
Sumit Chopra, Michael Auli, and Alexander M. Rush · 2016
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Sequence-to-sequence rnns for text summarization
Ramesh Nallapati, Bing Xiang, and Bowen Zhou
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Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond
Ramesh Nallapati, Bowen Zhou, Cicero dos Santos, Caglar Gulcehre, and Bing Xiang
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Sequence-to-sequence learning as beam-search optimization
Sam Wiseman and Alexander M. Rush · 2016
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Minimum risk training for neural machine translation
Shiqi Shen, Yong Cheng, Zhongjun He, Wei He, Hua Wu, Maosong Sun, and Yang Liu · 2016
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