DT_Team at SemEval-2017 Task 1: Semantic Similarity Using Alignments, Sentence-Level Embeddings and Gaussian Mixture Model Output

Nabin Maharjan; Rajendra Banjade; Dipesh Gautam; Lasang J. Tamang; Vasile Rus

2017 SEMEVAL SemEval 2017

DT_Team at SemEval-2017 Task 1: Semantic Similarity Using Alignments, Sentence-Level Embeddings and Gaussian Mixture Model Output

🌉 Interdisciplinary Bridge — Deep Learning and Machine Learning and Natural Language Processing

🐣 Hot Topic Early Bird — word alignment

🐝 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

Nabin Maharjan , Rajendra Banjade , Dipesh Gautam , Lasang J. Tamang , Vasile Rus

Topics

Machine Learning > Core Methods > Embedding Learning Natural Language Processing > Understanding > Semantic Analysis Natural Language Processing > Applications > Natural Language Inference Machine Learning > Bayesian & Probabilistic > Gaussian Processes Deep Learning > Learning Types > Representation Learning

Keywords

word alignment semantic similarity gaussian mixture model sentence embedding

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DT_Team at SemEval-2017 Task 1: Semantic Similarity Using Alignments, Sentence-Level Embeddings and Gaussian Mixture Model Output

Authors

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Keywords

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