← Back to papers

2019 SEMEVAL SemEval 2019

Clark Kent at SemEval-2019 Task 4: Stylometric Insights into Hyperpartisan News Detection

🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Deep Learning, Machine Learning, Natural Language Processing

Authors

Viresh Gupta , Baani Leen Kaur Jolly , Ramneek Kaur , Tanmoy Chakraborty

Topics

Natural Language Processing > Applications > Text Classification

Keywords

hyperpartisan news detection n-gram feature

Related papers

CAMsterdam at SemEval-2019 Task 6: Neural and graph-based feature extraction for the identification of offensive tweets 2019

JU_ETCE_17_21 at SemEval-2019 Task 6: Efficient Machine Learning and Neural Network Approaches for Identifying and Categorizing Offensive Language in Tweets 2019

Atalaya at SemEval 2019 Task 5: Robust Embeddings for Tweet Classification 2019

Lijunyi at SemEval-2019 Task 9: An attention-based LSTM and ensemble of different models for suggestion mining from online reviews and forums 2019

CX-ST-RNM at SemEval-2019 Task 3: Fusion of Recurrent Neural Networks Based on Contextualized and Static Word Representations for Contextual Emotion Detection 2019