A Corpus for Modeling Word Importance in Spoken Dialogue Transcripts
Table 2: Model performance in terms of RMS deviation and macro-averaged F1 score, with best results in bold font.
['[BOLD] Model', '[BOLD] RMS', '[ITALIC] F1 [BOLD]  (macro)']
While the LSTM-CRF had a better (higher) F-score on the classification task, its RMS score was worse (higher) than the LSTM-SIG model, which may be due to the limitation of the model as discussed in Section 5.