How Domain Terminology Affects Meeting Summarization Performance

November 02, 2020 ยท Declared Dead ยท ๐Ÿ› International Conference on Computational Linguistics

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Authors Jia Jin Koay, Alexander Roustai, Xiaojin Dai, Dillon Burns, Alec Kerrigan, Fei Liu arXiv ID 2011.00692 Category cs.CL: Computation & Language Citations 28 Venue International Conference on Computational Linguistics Last Checked 2 months ago
Abstract
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.
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