SemGCN
method
ID: semgcn
Related Papers
Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks
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 …...
Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis
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 …...