Learning word representation by jointly using neighbor and syntactic contexts
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DOI: 10.1016/j.neucom.2021.03.130
Abstract: Abstract Interpretability is a significant aspect of the distributed word representation learning model. Although the most advanced pretrained models have achieved the best results till date, the interpretability of a pretrained model is difficult to… read more here.
Keywords: syntactic contexts; word; neighbor syntactic; learning word ... See more keywords