← Back to papers
2019 SEMEVAL SemEval 2019

L2F/INESC-ID at SemEval-2019 Task 2: Unsupervised Lexical Semantic Frame Induction using Contextualized Word Representations

🌉 Interdisciplinary Bridge — Artificial Intelligence and Machine Learning and Natural Language Processing
🧭 Keyword Pioneer — frame clustering
🐣 Hot Topic Early Bird — graph clustering
🐝 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

Eugénio Ribeiro , Vânia Mendonça , Ricardo Ribeiro , David Martins de Matos , Alberto Sardinha , Ana Lúcia Santos , Luísa Coheur

Topics

Artificial Intelligence > Learning Paradigms > Transfer Learning Machine Learning > Core Methods > Clustering Machine Learning > Learning Types > Unsupervised Learning Natural Language Processing > Understanding > Semantic Analysis

Keywords

unsupervised learning graph clustering contextualized representation semantic frame induction semantic frame contextualized word representation frame clustering word-sense disambiguation
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