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Chenguang Zhu | Xuedong Huang | Michael Zeng | Beliz Gunel | Xuedong Huang | Chenguang Zhu | Michael Zeng | Beliz Gunel
[1] Tiejun Zhao,et al. Neural Document Summarization by Jointly Learning to Score and Select Sentences , 2018, ACL.
[2] Bowen Zhou,et al. Pointing the Unknown Words , 2016, ACL.
[3] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[4] Yiming Yang,et al. Transformer-XL: Attentive Language Models beyond a Fixed-Length Context , 2019, ACL.
[5] Christopher D. Manning,et al. Get To The Point: Summarization with Pointer-Generator Networks , 2017, ACL.
[6] Jason Weston,et al. Translating Embeddings for Modeling Multi-relational Data , 2013, NIPS.
[7] Bowen Zhou,et al. Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond , 2016, CoNLL.
[8] Chin-Yew Lin,et al. ROUGE: A Package for Automatic Evaluation of Summaries , 2004, ACL 2004.
[9] Phil Blunsom,et al. Teaching Machines to Read and Comprehend , 2015, NIPS.
[10] Yejin Choi,et al. Deep Communicating Agents for Abstractive Summarization , 2018, NAACL.
[11] Yang Liu,et al. Fine-tune BERT for Extractive Summarization , 2019, ArXiv.
[12] Richard Socher,et al. A Deep Reinforced Model for Abstractive Summarization , 2017, ICLR.
[13] Mirella Lapata,et al. Neural Summarization by Extracting Sentences and Words , 2016, ACL.
[14] Maosong Sun,et al. ERNIE: Enhanced Language Representation with Informative Entities , 2019, ACL.
[15] Alexander M. Rush,et al. Bottom-Up Abstractive Summarization , 2018, EMNLP.
[16] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.