Identifying High Quality Document-Summary Pairs through Text Matching
暂无分享,去创建一个
Yang Xiang | Xiaolong Wang | Qingcai Chen | Buzhou Tang | Yongshuai Hou | Fangze Zhu | Xiaolong Wang | Qingcai Chen | Buzhou Tang | Fangze Zhu | Yongshuai Hou | Yang Xiang
[1] Santosh S. Vempala,et al. Latent semantic indexing: a probabilistic analysis , 1998, PODS '98.
[2] Preslav Nakov,et al. SemEval-2016 Task 3: Community Question Answering , 2019, *SEMEVAL.
[3] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[4] Benjamin Van Durme,et al. Annotated Gigaword , 2012, AKBC-WEKEX@NAACL-HLT.
[5] Houfeng Wang,et al. Learning Summary Prior Representation for Extractive Summarization , 2015, ACL.
[6] Dragomir R. Radev,et al. LexRank: Graph-based Lexical Centrality as Salience in Text Summarization , 2004, J. Artif. Intell. Res..
[7] Dong-Hong Ji,et al. Deep Learning for Textual Entailment Recognition , 2015, 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI).
[8] Jason Weston,et al. A Neural Attention Model for Abstractive Sentence Summarization , 2015, EMNLP.
[9] John Salvatier,et al. Theano: A Python framework for fast computation of mathematical expressions , 2016, ArXiv.
[10] Petr Sojka,et al. Software Framework for Topic Modelling with Large Corpora , 2010 .
[11] Wei Li. Abstractive Multi-document Summarization with Semantic Information Extraction , 2015, EMNLP.
[12] Anders Søgaard,et al. Unsupervised extractive summarization via coverage maximization with syntactic and semantic concepts , 2015, ACL.
[13] Xiaolong Wang,et al. An Auto-Encoder for Learning Conversation Representation Using LSTM , 2015, ICONIP.
[14] Jun Zhao,et al. Inner Attention based Recurrent Neural Networks for Answer Selection , 2016, ACL.
[15] Xiaolong Wang,et al. Answer Sequence Learning with Neural Networks for Answer Selection in Community Question Answering , 2015, ACL.
[16] Kathleen R. McKeown,et al. SIMFINDER: A Flexible Clustering Tool for Summarization , 2001 .
[17] Erik Cambria,et al. Aspect extraction for opinion mining with a deep convolutional neural network , 2016, Knowl. Based Syst..
[18] Ting Liu,et al. Document Modeling with Gated Recurrent Neural Network for Sentiment Classification , 2015, EMNLP.
[19] Eduard H. Hovy,et al. Automated Text Summarization and the SUMMARIST System , 1998, TIPSTER.
[20] T. Landauer,et al. Indexing by Latent Semantic Analysis , 1990 .
[21] Peter W. Foltz,et al. An introduction to latent semantic analysis , 1998 .
[22] Yi Han,et al. A Bidirectional LSTM Model for Question Title and Body Analysis in Question Answering , 2016, 2016 IEEE First International Conference on Data Science in Cyberspace (DSC).
[23] Qingcai Chen,et al. LCSTS: A Large Scale Chinese Short Text Summarization Dataset , 2015, EMNLP.
[24] Gerard Salton,et al. A vector space model for automatic indexing , 1975, CACM.
[25] Gene H. Golub,et al. Singular value decomposition and least squares solutions , 1970, Milestones in Matrix Computation.
[26] Tara N. Sainath,et al. Improving deep neural networks for LVCSR using rectified linear units and dropout , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[27] Yoshua Bengio,et al. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling , 2014, ArXiv.
[28] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[29] Xuanjing Huang,et al. Deep Fusion LSTMs for Text Semantic Matching , 2016, ACL.
[30] Andreas Christmann,et al. Support vector machines , 2008, Data Mining and Knowledge Discovery Handbook.
[31] Lei Yu,et al. Deep Learning for Answer Sentence Selection , 2014, ArXiv.
[32] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[33] Bowen Zhou,et al. Improved Representation Learning for Question Answer Matching , 2016, ACL.
[34] Horacio Rodríguez,et al. Support Vector Machines for Query-focused Summarization trained and evaluated on Pyramid data , 2007, ACL.
[35] Hang Li,et al. Convolutional Neural Network Architectures for Matching Natural Language Sentences , 2014, NIPS.
[36] Chin-Yew Lin,et al. ROUGE: A Package for Automatic Evaluation of Summaries , 2004, ACL 2004.
[37] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[38] Yoon Kim,et al. Convolutional Neural Networks for Sentence Classification , 2014, EMNLP.
[39] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[40] Kam-Fai Wong,et al. Extractive Summarization Using Supervised and Semi-Supervised Learning , 2008, COLING.
[41] Phil Blunsom,et al. Reasoning about Entailment with Neural Attention , 2015, ICLR.
[42] Mirella Lapata,et al. Neural Summarization by Extracting Sentences and Words , 2016, ACL.
[43] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[44] Yoshua Bengio,et al. Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies , 2001 .
[45] Paul Over,et al. DUC in context , 2007, Inf. Process. Manag..
[46] Matthew D. Zeiler. ADADELTA: An Adaptive Learning Rate Method , 2012, ArXiv.
[47] Erik Cambria,et al. Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis , 2015, EMNLP.
[48] Trevor Hastie,et al. Support Vector Machines , 2013 .
[49] Dipanjan Das Andr,et al. A Survey on Automatic Text Summarization , 2007 .
[50] Noah A. Smith,et al. Extractive Summarization by Maximizing Semantic Volume , 2015, EMNLP.
[51] Vishal Gupta,et al. Recent automatic text summarization techniques: a survey , 2016, Artificial Intelligence Review.
[52] Jiawei Han,et al. Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant Opinions , 2010, COLING.
[53] Claire Grover,et al. Improving Topic Model Clustering of Newspaper Comments for Summarisation , 2016, ACL.
[54] Zhichang Zhang,et al. Chinese Textual Entailment Recognition Enhanced with Word Embedding , 2015, CCL.
[55] Rada Mihalcea,et al. Graph-based Ranking Algorithms for Sentence Extraction, Applied to Text Summarization , 2004, ACL.
[56] Bowen Zhou,et al. Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond , 2016, CoNLL.
[57] Arunima Jaiswal,et al. Trends in Extractive and Abstractive Techniques in Text Summarization , 2015 .