Comparing explicit and predictive distributional semantic models endowed with syntactic contexts
Sign Up to like & getrecommendations! Published in 2017 at "Language Resources and Evaluation"
DOI: 10.1007/s10579-016-9357-4
Abstract: AbstractIn this article, we introduce an explicit count-based strategy to build word space models with syntactic contexts (dependencies). A filtering method is defined to reduce explicit word-context vectors. This traditional strategy is compared with a… read more here.
Keywords: syntactic contexts; explicit predictive; predictive distributional; comparing explicit ... See more keywords
Learning word representation by jointly using neighbor and syntactic contexts
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
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