Neural Aspect and Opinion Term Extraction with Mined Rules as Weak Supervision
Table 6: Aspect and opinion term extraction performance.
['Approach', 'SE14-R Aspect', 'SE14-R Opinion', 'SE14-L Aspect', 'SE14-L Opinion', 'SE15-R Aspect', 'SE15-R Opinion']
We can see that using BERT yields better performance than using word2vec. RINANTE is still able to further improve the performance when contextual embeddings obtained with BERT are used.