Using Structured Representation and Data: A Hybrid Model for Negation and Sentiment in Customer Service Conversations
Table 7: Negation classifier performance for scope detection with gold cues and scope.
['[EMPTY]', '[BOLD] Punctuation', '[BOLD] BiLSTM', '[BOLD] Proposed']
The results in Table 7 show that the method is comparable to state of the art BiLSTM model from (Fancellu et al., 2016) on gold negation cues for scope prediction. [CONTINUE] report the F-score for both in-scope and out-ofscope tokens.