Improving Opinion-Target Extraction with Character-Level Word Embeddings
Table 3: Results on the test set for best performing hyperparameters. The previous findings of the usefulness of character-level word embeddings are confirmed by the results of the test set.
['Model', 'F1-Score']
The results confirm our hypothesis and the findings from the cross validation that the character-level word embeddings offer a substantial improvement (3.3 points F1-Score ) over the word-only baseline model.