Papers with linguistic dependency trees

1 papers
Inducing Target-Specific Latent Structures for Aspect Sentiment Classification (2020.emnlp-main)

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Challenge: Aspect-level sentiment analysis aims to classify the sentiment polarity of an aspect or a target in a comment . graph convolutional networks can be used to classifice aspect terms in syllables .
Approach: They propose to combine word dependency graphs and latent graphs to create latent models . they propose to model the interaction between the aspect and its surrounding contexts .
Outcome: The proposed model can complement syntactic features with latent semantic dependencies.

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