JUSTDeep at NLP4IF 2019 Task 1: Propaganda Detection using Ensemble Deep Learning Models
暂无分享,去创建一个
[1] Kuldip K. Paliwal,et al. Bidirectional recurrent neural networks , 1997, IEEE Trans. Signal Process..
[2] Yurii Oliinyk,et al. Analysis of Propaganda Elements Detecting Algorithms in Text Data , 2019 .
[3] Bonnie S. Brennen. Making Sense of Lies, Deceptive Propaganda, and Fake News , 2017 .
[4] Tianqi Chen,et al. XGBoost: A Scalable Tree Boosting System , 2016, KDD.
[5] Prabhas Chongstitvatana,et al. Detecting Fake News with Machine Learning Method , 2018, 2018 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON).
[6] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[7] Ali K. Chaudhry,et al. Stance Detection for the Fake News Challenge : Identifying Textual Relationships with Deep Neural Nets , 2022 .
[8] Preslav Nakov,et al. Proppy: A System to Unmask Propaganda in Online News , 2019, AAAI.
[9] Yoshua Bengio,et al. Maxout Networks , 2013, ICML.
[10] Mykhailo Granik,et al. Fake news detection using naive Bayes classifier , 2017, 2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON).
[11] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[12] Akshay Jain,et al. Fake News Detection , 2018, 2018 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS).
[13] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[14] Shlok Gilda,et al. Evaluating machine learning algorithms for fake news detection , 2017, 2017 IEEE 15th Student Conference on Research and Development (SCOReD).
[15] Heiko Paulheim,et al. Weakly Supervised Learning for Fake News Detection on Twitter , 2018, 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).
[16] Georg Rehm,et al. From Clickbait to Fake News Detection: An Approach based on Detecting the Stance of Headlines to Articles , 2017, NLPmJ@EMNLP.
[17] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[18] Marina Litvak,et al. Using Behavior and Text Analysis to Detect Propagandists and Misinformers on Twitter , 2018, SIMBig.
[19] Saif Mohammad,et al. WASSA-2017 Shared Task on Emotion Intensity , 2017, WASSA@EMNLP.
[20] Felipe Bravo-Marquez,et al. Meta-level sentiment models for big social data analysis , 2014, Knowl. Based Syst..
[21] Preslav Nakov,et al. Fine-Grained Analysis of Propaganda in News Article , 2019, EMNLP.