PurdueNLP at SemEval-2017 Task 1: Predicting Semantic Textual Similarity with Paraphrase and Event Embeddings

I-Ta Lee; Mahak Goindani; Chang Li; Di Jin; Kristen Marie Johnson; Xiao Zhang; Maria Leonor Pacheco; Dan Goldwasser

2017 SEMEVAL SemEval 2017

PurdueNLP at SemEval-2017 Task 1: Predicting Semantic Textual Similarity with Paraphrase and Event Embeddings

🧭 Keyword Pioneer - paraphrase embedding

🐣 Hot Topic Early Bird - pearson correlation

🐝 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, Security & Privacy, Speech & Audio

Authors

I-Ta Lee , Mahak Goindani , Chang Li , Di Jin , Kristen Marie Johnson , Xiao Zhang , Maria Leonor Pacheco , Dan Goldwasser

Topics

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

Keywords

pearson correlation regression model semantic textual similarity event embedding paraphrase embedding

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PurdueNLP at SemEval-2017 Task 1: Predicting Semantic Textual Similarity with Paraphrase and Event Embeddings

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