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Lin Zhao | Fei Liu | Kaiqiang Song | Lin Zhao | Fei Liu | Kaiqiang Song
[1] John Brown. Modelling Events through Memory-based , Open-IE Patterns for Abstractive Summarization , 2014 .
[2] Shujian Huang,et al. Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder , 2017, ACL.
[3] Bowen Zhou,et al. Pointing the Unknown Words , 2016, ACL.
[4] Christopher D. Manning,et al. Get To The Point: Summarization with Pointer-Generator Networks , 2017, ACL.
[5] Xiaojun Wan,et al. Abstractive Document Summarization with a Graph-Based Attentional Neural Model , 2017, ACL.
[6] Phil Blunsom,et al. Language as a Latent Variable: Discrete Generative Models for Sentence Compression , 2016, EMNLP.
[7] Zhen-Hua Ling,et al. Distraction-Based Neural Networks for Document Summarization , 2016, ArXiv.
[8] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[9] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[10] Sanja Fidler,et al. Efficient Summarization with Read-Again and Copy Mechanism , 2016, ArXiv.
[11] Mirella Lapata,et al. Neural Summarization by Extracting Sentences and Words , 2016, ACL.
[12] Alexander M. Rush,et al. Abstractive Sentence Summarization with Attentive Recurrent Neural Networks , 2016, NAACL.
[13] Kathleen McKeown,et al. The decomposition of human-written summary sentences , 1999, SIGIR '99.
[14] Kathleen McKeown,et al. Sentence Compression with Joint Structural Inference , 2013, CoNLL.
[15] Ryan T. McDonald. Discriminative Sentence Compression with Soft Syntactic Evidence , 2006, EACL.
[16] Noah A. Smith,et al. Toward Abstractive Summarization Using Semantic Representations , 2018, NAACL.
[17] Dan Klein,et al. Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints , 2016, ACL.
[18] Lin Zhao,et al. Improving Multi-documents Summarization by Sentence Compression based on Expanded Constituent Parse Trees , 2014, EMNLP.
[19] Mirella Lapata,et al. Sentence Simplification with Deep Reinforcement Learning , 2017, EMNLP.
[20] Ion Androutsopoulos,et al. An extractive supervised two-stage method for sentence compression , 2010, NAACL.
[21] Furu Wei,et al. Faithful to the Original: Fact Aware Neural Abstractive Summarization , 2017, AAAI.
[22] Ming Zhou,et al. Selective Encoding for Abstractive Sentence Summarization , 2017, ACL.
[23] Jackie Chi Kit Cheung,et al. Extractive vs. NLG-based Abstractive Summarization of Evaluative Text: The Effect of Corpus Controversiality , 2008, INLG.
[24] Bowen Zhou,et al. Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond , 2016, CoNLL.
[25] Guodong Zhou,et al. Modeling Source Syntax for Neural Machine Translation , 2017, ACL.
[26] Christopher D. Manning,et al. Effective Approaches to Attention-based Neural Machine Translation , 2015, EMNLP.
[27] Jimmy J. Lin,et al. Multi-candidate reduction: Sentence compression as a tool for document summarization tasks , 2007, Inf. Process. Manag..
[28] Richard Socher,et al. A Deep Reinforced Model for Abstractive Summarization , 2017, ICLR.
[29] Jason Weston,et al. A Neural Attention Model for Sentence Summarization , 2015 .
[30] Hang Li,et al. “ Tony ” DNN Embedding for “ Tony ” Selective Read for “ Tony ” ( a ) Attention-based Encoder-Decoder ( RNNSearch ) ( c ) State Update s 4 SourceVocabulary Softmax Prob , 2016 .
[31] Piji Li,et al. Deep Recurrent Generative Decoder for Abstractive Text Summarization , 2017, EMNLP.
[32] J. Clarke,et al. Global inference for sentence compression : an integer linear programming approach , 2008, J. Artif. Intell. Res..
[33] Ani Nenkova,et al. Automatic Summarization , 2011, ACL.
[34] André F. T. Martins,et al. Fast and Robust Compressive Summarization with Dual Decomposition and Multi-Task Learning , 2013, ACL.
[35] Razvan Pascanu,et al. On the difficulty of training recurrent neural networks , 2012, ICML.
[36] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.
[37] Fei Liu,et al. Document Summarization via Guided Sentence Compression , 2013, EMNLP.
[38] Daniel Marcu,et al. A Noisy-Channel Model for Document Compression , 2002, ACL.
[39] Lukasz Kaiser,et al. Sentence Compression by Deletion with LSTMs , 2015, EMNLP.
[40] Giuseppe Carenini,et al. Abstractive Summarization of Product Reviews Using Discourse Structure , 2014, EMNLP.
[41] Robert J. Gaizauskas,et al. A Hybrid Approach to Multi-document Summarization of Opinions in Reviews , 2014, INLG.
[42] Claire Cardie,et al. A Sentence Compression Based Framework to Query-Focused Multi-Document Summarization , 2013, ACL.
[43] Dan Klein,et al. Jointly Learning to Extract and Compress , 2011, ACL.
[44] Ramakanth Pasunuru,et al. Towards Improving Abstractive Summarization via Entailment Generation , 2017, NFiS@EMNLP.
[45] Quoc V. Le,et al. Addressing the Rare Word Problem in Neural Machine Translation , 2014, ACL.
[46] Naoaki Okazaki,et al. Neural Headline Generation on Abstract Meaning Representation , 2016, EMNLP.
[47] Danqi Chen,et al. A Fast and Accurate Dependency Parser using Neural Networks , 2014, EMNLP.
[48] Graham Neubig,et al. Controlling Output Length in Neural Encoder-Decoders , 2016, EMNLP.
[49] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[50] Chin-Yew Lin,et al. ROUGE: A Package for Automatic Evaluation of Summaries , 2004, ACL 2004.