Papers
Findings of the NLP4IF-2019 Shared Task on Fine-Grained Propaganda Detection
Giovanni Da San Martino, Alberto Barrón-Cedeño, Preslav Nakov
Synthetic Propaganda Embeddings To Train A Linear Projection
Adam Ek, Mehdi Ghanimifard
Sentence-Level Propaganda Detection in News Articles with Transfer Learning and BERT-BiLSTM-Capsule Model
George-Alexandru Vlad, Mircea-Adrian Tanase, Cristian Onose et al.
NSIT@NLP4IF-2019: Propaganda Detection from News Articles using Transfer Learning
Kartik Aggarwal, Anubhav Sadana
Pretrained Ensemble Learning for Fine-Grained Propaganda Detection
Ali Fadel, Ibraheem Tuffaha, Mahmoud Al-Ayyoub
Cost-Sensitive BERT for Generalisable Sentence Classification on Imbalanced Data
Harish Tayyar Madabushi, Elena Kochkina, Michael Castelle
Detection of Propaganda Using Logistic Regression
Jinfen Li, Zhihao Ye, Lu Xiao
JUSTDeep at NLP4IF 2019 Task 1: Propaganda Detection using Ensemble Deep Learning Models
Hani Al-Omari, Malak Abdullah, Ola AlTiti et al.
On Sentence Representations for Propaganda Detection: From Handcrafted Features to Word Embeddings
André Ferreira Cruz, Gil Rocha, Henrique Lopes Cardoso
Divisive Language and Propaganda Detection using Multi-head Attention Transformers with Deep Learning BERT-based Language Models for Binary Classification
Norman Mapes, Anna White, Radhika Medury et al.
Fine-Tuned Neural Models for Propaganda Detection at the Sentence and Fragment levels
Tariq Alhindi, Jonas Pfeiffer, Smaranda Muresan
Neural Architectures for Fine-Grained Propaganda Detection in News
Pankaj Gupta, Khushbu Saxena, Usama Yaseen et al.
Fine-Grained Propaganda Detection with Fine-Tuned BERT
Shehel Yoosuf, Yin Yang
Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition
Wei-Fan Chen, Khalid Al Khatib, Matthias Hagen et al.
Rumor Detection on Social Media: Datasets, Methods and Opportunities
Quanzhi Li, Qiong Zhang, Luo Si et al.
Generating Sentential Arguments from Diverse Perspectives on Controversial Topic
ChaeHun Park, Wonsuk Yang, Jong Park
Mapping (Dis-)Information Flow about the MH17 Plane Crash
Mareike Hartmann, Yevgeniy Golovchenko, Isabelle Augenstein
Calls to Action on Social Media: Detection, Social Impact, and Censorship Potential
Anna Rogers, Olga Kovaleva, Anna Rumshisky
Identifying Nuances in Fake News vs. Satire: Using Semantic and Linguistic Cues
Or Levi, Pedram Hosseini, Mona Diab et al.
How Many Users Are Enough? Exploring Semi-Supervision and Stylometric Features to Uncover a Russian Troll Farm
Nayeema Nasrin, Kim-Kwang Raymond Choo, Myung Ko et al.
Detecting context abusiveness using hierarchical deep learning
Ju-Hyoung Lee, Jun-U Park, Jeong-Won Cha et al.
Assessing Post Deletion in Sina Weibo: Multi-modal Classification of Hot Topics
Meisam Navaki Arefi, Rajkumar Pandi, Michael Carl Tschantz et al.
Efficiency through Auto-Sizing: Notre Dame NLP’s Submission to the WNGT 2019 Efficiency Task
Kenton Murray, Brian DuSell, David Chiang