SEF@UHH at SemEval-2017 Task 1: Unsupervised Knowledge-Free Semantic Textual Similarity via Paragraph Vector

Mirela-Stefania Duma; Wolfgang Menzel

2017 SemEval SemEval 2017

SEF@UHH at SemEval-2017 Task 1: Unsupervised Knowledge-Free Semantic Textual Similarity via Paragraph Vector

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Mirela-Stefania Duma, Wolfgang Menzel

Topics

Machine Learning > Core Methods > Representation Learning Machine Learning > Core Methods > Embedding Learning Machine Learning > Learning Types > Unsupervised Learning Deep Learning > Learning Types > Representation Learning

Keywords

unsupervised learning text representation semantic similarity document embedding paragraph vector

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