method ID: semgcn

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Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractWord embeddings have been widely adopted across several NLP applications. Most existing word embedding methods utilize sequential context of a word to learn its embedding. While there have been some …...

39641

Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis

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Publication: TIPSTER (2021)

DOI: nan

AbstractAspect-based sentiment analysis is a fine-grained sentiment classification task. Recently, graph neural networks over dependency trees have been explored to explicitly model connections between aspects and opinion words. However, the …...

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