RNN-based Encoder-decoder Approach with Word Frequency Estimation

Keywords

Encoder, Computer science, Automatic summarization, Benchmark (surveying), Speech recognition

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Cited by

• Get To The Point: Summarization with Pointer-Generator NetworksAbigail See, Peter J. Liu, Christopher D. Manning — 2017
• Multi-Reward Reinforced Summarization with Saliency and EntailmentRamakanth Pasunuru, Mohit Bansal — 2018
• Soft Layer-Specific Multi-Task Summarization with Entailment and Question GenerationHan Guo, Ramakanth Pasunuru, Mohit Bansal — 2018
• Double Path Networks for Sequence to Sequence LearningKaitao Song, Xu Tan, Di He — 2018
• DLCEncDec : A Fully Character-Level Encoder-Decoder Model for Neural Responding ConversationSixing Wu, Ying Li, Xinyuan Zhang — 2018
• Extractive-abstractive summarization with pointer and coverage mechanismYong Zhang, Erdan Chen, Weidong Xiao — 2018
• A Novel Attention Mechanism Considering Decoder Input for Abstractive Text SummarizationJianwei Niu, Mingsheng Sun, Joel J. P. C. Rodrigues — 2019
• Fast Abstractive Summarization with Reinforce-Selected Sentence RewritingYen-Chun Chen, Mohit Bansal — 2018
• Neural Machine Translation with Word PredictionsRongxiang Weng, Shujian Huang, Zaixiang Zheng — 2017
• Multi-stage Pretraining for Abstractive SummarizationSebastian Goodman, Zhenzhong Lan, Radu Soricut — 2019
• Generating Question Titles for Stack Overflow from Mined Code SnippetsZhipeng Gao, Xin Xia, John Grundy — 2020
• EFFICIENT TEXT SUMMARIZER USING POINT TO GENERATOR TECHNIQUEG. Lasya Sriranga, P. Likitha, B. Meghana — 2020
• The Pennsylvania State UniversityP. Mitra — 2019

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