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
Investigating Maps of Science Using Contextual Proximity of Citations Based on Deep Contextualized Word Representation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3159980
Abstract: The citation intent extraction and classification has long been studied as it is a good measure of relevancy. Different approaches have classified the citations into different classes; including weak and strong, positive and negative, important… read more here.
Keywords: citation context; citation; word; word representation ... See more keywords