  Meetings are essential to modern organizations. Numerous meetings are held
and recorded daily, more than can ever be comprehended. A meeting summarization
system that identifies salient utterances from the transcripts to automatically
generate meeting minutes can help. It empowers users to rapidly search and sift
through large meeting collections. To date, the impact of domain terminology on
the performance of meeting summarization remains understudied, despite that
meetings are rich with domain knowledge. In this paper, we create gold-standard
annotations for domain terminology on a sizable meeting corpus; they are known
as jargon terms. We then analyze the performance of a meeting summarization
system with and without jargon terms. Our findings reveal that domain
terminology can have a substantial impact on summarization performance. We
publicly release all domain terminology to advance research in meeting
summarization.
