Relational Graph Attention Network for Aspect-based Sentiment Analysis
Table 3: Results of R-GAT based on two different parsers, where UAS and LAS are metrics to evaluate the parsers and higher scores mean better performance.
['Parser', 'Performance UAS', 'Performance LAS', 'Dataset Restaurant', 'Dataset Laptop', 'Dataset Twitter']
. From the table, we can find that the better Biaffine parser results in higher sentiment classification accuracies. Moreover, it further implies that while existing parsers can capture most of the syntactic structures correctly, our method has the potential to be further improved with the advances of parsing techniques.