UdL at SemEval-2017 Task 1: Semantic Textual Similarity Estimation of English Sentence Pairs Using Regression Model over Pairwise Features

Hussein T. Al-Natsheh; Lucie Martinet; Fabrice Muhlenbach; Djamel Abdelkader Zighed

2017 SEMEVAL SemEval 2017

UdL at SemEval-2017 Task 1: Semantic Textual Similarity Estimation of English Sentence Pairs Using Regression Model over Pairwise Features

🐣 Hot Topic Early Bird - random forest

🐝 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

Hussein T. Al-Natsheh , Lucie Martinet , Fabrice Muhlenbach , Djamel Abdelkader Zighed

Topics

Machine Learning > Core Methods > Regression Machine Learning > Core Methods > Representation Learning

Keywords

ensemble learning semantic similarity feature engineering word embedding regression model random forest

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UdL at SemEval-2017 Task 1: Semantic Textual Similarity Estimation of English Sentence Pairs Using Regression Model over Pairwise Features

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