Exploring Human-Like Reading Strategy for Abstractive Text Summarization
暂无分享,去创建一个
Qiang Qu | Zhou Zhao | Ying Shen | Min Yang | Wenting Tu | Xiaojun Chen | Wenting Tu | Min Yang | Zhou Zhao | Qiang Qu | Ying Shen | Xiaojun Chen
[1] Salim Roukos,et al. Bleu: a Method for Automatic Evaluation of Machine Translation , 2002, ACL.
[2] Bowen Zhou,et al. Pointing the Unknown Words , 2016, ACL.
[3] Mark Steedman,et al. Combinatory Categorial Grammar , 2011 .
[4] Christopher D. Manning,et al. Get To The Point: Summarization with Pointer-Generator Networks , 2017, ACL.
[5] Michael F. Graves,et al. Scaffolding Young Learners' Reading of Social Studies Texts. , 1997 .
[6] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[7] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[8] Min Yang,et al. Generative Adversarial Network for Abstractive Text Summarization , 2017, AAAI.
[9] Furu Wei,et al. Faithful to the Original: Fact Aware Neural Abstractive Summarization , 2017, AAAI.
[10] Elif Leyla Toprak,et al. Three Reading Phases and Their Applications in the Teaching of English as a Foreign Language in Reading Classes with Young Learners , 2009 .
[11] Alon Lavie,et al. METEOR: An Automatic Metric for MT Evaluation with High Levels of Correlation with Human Judgments , 2007, WMT@ACL.
[12] Yoon Kim,et al. Convolutional Neural Networks for Sentence Classification , 2014, EMNLP.
[13] Yishay Mansour,et al. Policy Gradient Methods for Reinforcement Learning with Function Approximation , 1999, NIPS.
[14] Alexander M. Rush,et al. Abstractive Sentence Summarization with Attentive Recurrent Neural Networks , 2016, NAACL.
[15] Christian Tarchi,et al. Comprehending and Recalling from Text: The Role of Motivational and Cognitive Factors. , 2017 .
[16] Jason Baldridge,et al. Non-Transformational Syntax: Formal and Explicit Models of Grammar , 2011 .
[17] M. Masson. Conceptual processing of text during skimming and rapid sequential reading , 1983, Memory & cognition.
[18] Chin-Yew Lin,et al. ROUGE: A Package for Automatic Evaluation of Summaries , 2004, ACL 2004.
[19] Phil Blunsom,et al. Teaching Machines to Read and Comprehend , 2015, NIPS.
[20] Wei Zhao,et al. A Multi-task Learning Approach for Image Captioning , 2018, IJCAI.
[21] Furu Wei,et al. Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization , 2018, ACL.
[22] Graham Neubig,et al. Controlling Output Length in Neural Encoder-Decoders , 2016, EMNLP.
[23] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[24] Jason Weston,et al. A Neural Attention Model for Abstractive Sentence Summarization , 2015, EMNLP.
[25] Bowen Zhou,et al. Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond , 2016, CoNLL.
[26] Stephen Clark,et al. Supertagging for Combinatory Categorial Grammar , 2002, TAG+.
[27] Steven Skiena,et al. DeepWalk: online learning of social representations , 2014, KDD.
[28] Wei Li,et al. A Unified Model for Document-Based Question Answering Based on Human-Like Reading Strategy , 2018, AAAI.
[29] Ulrich Furbach,et al. Cognitive Systems and Question Answering , 2014, ArXiv.
[30] Richard Socher,et al. A Deep Reinforced Model for Abstractive Summarization , 2017, ICLR.
[31] Marc'Aurelio Ranzato,et al. Sequence Level Training with Recurrent Neural Networks , 2015, ICLR.
[32] 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 .