Aspect-Based Relational Sentiment Analysis Using a Stacked Neural Network Architecture
Table 1: Results for aspect term extraction on the SemEval2015 test dataset using different model architectures and additional POS tag features. EliXa represents the current state-of-the-art.
['Model', 'Aspects  [ITALIC] P', 'Aspects  [ITALIC] R', 'Aspects  [ITALIC] F1']
This section evaluates our aspect term extraction component and considers different neural models. Again, we perform each experiment three times to alleviate differences due to the networks’ initializations and training sample orders.