Papers with online meetings

    2 papers
    ParseJargon: Personalized Real-time Jargon Support in Online Meetings (2026.acl-demo)

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    Challenge: Recent advances in speech-to-text technologies and large language models (LLMs) have the potential to overcome these limitations with automated, real-time jargon support.
    Approach: They built an interactive LLM-powered system that provides real-time personalized jargon support tailored to users’ individual backgrounds in online meetings.
    Outcome: The proposed system provides more precise jargon identification and enhanced participants’ comprehension, engagement, and appreciation of colleagues’ work.
    ELITR Minuting Corpus: A Novel Dataset for Automatic Minuting from Multi-Party Meetings in English and Czech (2022.lrec-1)

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    Challenge: Automated minuting is a rather unstructured writing activity and can be difficult due to a variety of factors including the quality of automatic speech recorders, availability of public meeting data, subjective knowledge of the minuter, etc.
    Approach: They propose a dataset on automatic minuting which includes transcripts from ASRs and minuted by annotators.
    Outcome: The proposed dataset covers more than 160 hours of meeting content.

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