Clickbait Convolutional Neural Network
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Xin Yao | Arun Kumar Sangaiah | Yong Jiang | Hai-Tao Zheng | Jin-Yuan Chen | Cong-Zhi Zhao | A. K. Sangaiah | Haitao Zheng | Xin Yao | Yong Jiang | Jin-Yuan Chen | Cong-Zhi Zhao
[1] Nitish Srivastava,et al. Improving neural networks by preventing co-adaptation of feature detectors , 2012, ArXiv.
[2] Shibamouli Lahiri,et al. Informality Judgment at Sentence Level and Experiments with Formality Score , 2011, CICLing.
[3] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[4] Wojciech Czarnecki,et al. On Loss Functions for Deep Neural Networks in Classification , 2017, ArXiv.
[5] Tanmoy Chakraborty,et al. We Used Neural Networks to Detect Clickbaits: You Won't Believe What Happened Next! , 2016, ECIR.
[6] Tomas Mikolov,et al. Bag of Tricks for Efficient Text Classification , 2016, EACL.
[7] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[8] Evgeniy Gabrilovich,et al. Computing Semantic Relatedness Using Wikipedia-based Explicit Semantic Analysis , 2007, IJCAI.
[9] Pat Langley,et al. Estimating Continuous Distributions in Bayesian Classifiers , 1995, UAI.
[10] Amol Agrawal,et al. Clickbait detection using deep learning , 2016, 2016 2nd International Conference on Next Generation Computing Technologies (NGCT).
[11] Jun Zhao,et al. Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks , 2015, ACL.
[12] Shu-Tao Xia,et al. Boost Clickbait Detection Based on User Behavior Analysis , 2017, APWeb/WAIM.
[13] Yoshua Bengio,et al. On the Properties of Neural Machine Translation: Encoder–Decoder Approaches , 2014, SSST@EMNLP.
[14] Sanja Fidler,et al. Skip-Thought Vectors , 2015, NIPS.
[15] Katarzyna Molek-Kozakowska,et al. CoerCive Metaphors in news headlines: a Cognitive-pragMatiC approaCh , 2014 .
[16] S. Cessie,et al. Ridge Estimators in Logistic Regression , 1992 .
[17] Jason Weston,et al. Natural Language Processing (Almost) from Scratch , 2011, J. Mach. Learn. Res..
[18] Marc Najork,et al. Detecting spam web pages through content analysis , 2006, WWW '06.
[19] J. Friedman. Greedy function approximation: A gradient boosting machine. , 2001 .
[20] Quoc V. Le,et al. Distributed Representations of Sentences and Documents , 2014, ICML.
[21] Cícero Nogueira dos Santos,et al. Learning Character-level Representations for Part-of-Speech Tagging , 2014, ICML.
[22] Hsinchun Chen,et al. A comparison of fraud cues and classification methods for fake escrow website detection , 2009, Inf. Technol. Manag..
[23] Niloy Ganguly,et al. Stop Clickbait: Detecting and preventing clickbaits in online news media , 2016, 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).
[24] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[25] Matthias Hagen,et al. Clickbait Detection , 2016, ECIR.
[26] Jimmy J. Lin,et al. Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks , 2015, EMNLP.
[27] Simon Haykin,et al. GradientBased Learning Applied to Document Recognition , 2001 .
[28] Yimin Chen,et al. Misleading Online Content: Recognizing Clickbait as "False News" , 2015, WMDD@ICMI.
[29] Yoon Kim,et al. Convolutional Neural Networks for Sentence Classification , 2014, EMNLP.
[30] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[31] Jay F. Nunamaker,et al. Detecting Fake Websites: The Contribution of Statistical Learning Theory , 2010, MIS Q..
[32] Jun Zhao,et al. Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks , 2015, EMNLP.
[33] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[34] David D. Lewis,et al. Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval , 1998, ECML.
[35] Prakhar Biyani,et al. "8 Amazing Secrets for Getting More Clicks": Detecting Clickbaits in News Streams Using Article Informality , 2016, AAAI.
[36] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[37] Quoc V. Le,et al. Exploiting Similarities among Languages for Machine Translation , 2013, ArXiv.
[38] Wang Yu,et al. Research of Title Party News Identification Technology Based on Topic Sentence Similarity , 2012 .