Towards Qualitative Word Embeddings Evaluation: Measuring Neighbors Variation

NAACL 2018 B{\'e}n{\'e}dicte PierrejeanLudovic Tanguy

We propose a method to study the variation lying between different word embeddings models trained with different parameters. We explore the variation between models trained with only one varying parameter by observing the distributional neighbors variation and show how changing only one parameter can have a massive impact on a given semantic space... (read more)

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