Before revision:   Our best performing method first (i) extracts noteworthy utterances via multi-label classification assigns them to summary section(s);
After revision:  We observe that the performance improves constantly as the extractive subtask is made more complex - an observation that we also replicate on the well-known AMI meeting summarization dataset. Our best performing method first (i) extracts noteworthy utterances via multi-label classification assigns them to summary section(s);