Mining fine-grained opinions on closed captions of YouTube videos with an attention-RNN
Table 4: Best results for our ARNN on AE for the Laptops dataset.
['[BOLD] Embeddings', '[BOLD] |d|', '[BOLD] |cw|', '[BOLD] |h|', '[BOLD] F1']
Again, the CoreNLP pipeline significantly outperformed Senna, with an average absolute gain of 1.39 (p=3.4×10−33) F1-score. Bidirectionality provided an absolute average gain of 1.15 F1-score (p=4.61×10−20).