Using Structured Representation and Data: A Hybrid Model for Negation and Sentiment in Customer Service Conversations
Table 4: Cue classification on the test set.
['[EMPTY]', '[BOLD] F-Score  [BOLD] Baseline', '[BOLD] F-Score  [BOLD] Proposed', '[BOLD] Support']
improves the F-score of false negation from a 0.61 baseline to 0.68 on a test set containing 47 false and 557 actual negation cues.