← Back to papers
2019 SEMEVAL SemEval 2019

GSI-UPM at SemEval-2019 Task 5: Semantic Similarity and Word Embeddings for Multilingual Detection of Hate Speech Against Immigrants and Women on Twitter

🌉 Interdisciplinary Bridge — Machine Learning and Natural Language Processing
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio

Authors

Diego Benito , Oscar Araque , Carlos A. Iglesias

Topics

Machine Learning > Core Methods > Representation Learning Natural Language Processing > Applications > Text Classification Natural Language Processing > Resources & Methods > Text Representation

Keywords

feature extraction text classification multilingual nlp semantic similarity word embedding hate speech detection
Download PDF

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