COLING 2020main43 citations

How Domain Terminology Affects Meeting Summarization Performance

Jia Jin Koay, Alexander Roustai, Xiaojin Dai, Dillon Burns, Alec Kerrigan, Fei Liu

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.

BibTeX
@inproceedings{koay-etal-2020-domain,
    title = "How Domain Terminology Affects Meeting Summarization Performance",
    author = "Koay, Jia Jin  and
      Roustai, Alexander  and
      Dai, Xiaojin  and
      Burns, Dillon  and
      Kerrigan, Alec  and
      Liu, Fei",
    editor = "Scott, Donia  and
      Bel, Nuria  and
      Zong, Chengqing",
    booktitle = "Proceedings of the 28th International Conference on Computational Linguistics",
    month = dec,
    year = "2020",
    address = "Barcelona, Spain (Online)",
    publisher = "International Committee on Computational Linguistics",
    url = "https://aclanthology.org/2020.coling-main.499/",
    doi = "10.18653/v1/2020.coling-main.499",
    pages = "5689--5695"
}
How Domain Terminology Affects Meeting Summarization Performance · COLING 2020