manisnesan
commented
2 months ago Meeting Summarization
Meeting summarization is the process of creating a concise overview of the key points, decisions, and action items discussed during a meeting[1]. It serves to keep stakeholders informed, facilitate decision-making, encourage accountability, and enhance communication[1].
There are several proven ways to summarize a meeting effectively:
-
Take concise notes during the meeting, focusing on the most important information[1].
-
Use a clear and organized format in the summary, such as including the date, time, location, attendees, agenda items, discussion points, decisions, action items, and next steps[1].
-
Follow and fill out the meeting agenda when creating the summary notes[1].
-
Summarize the meeting over email to all participants after the fact[1].
-
Use AI tools to automatically generate meeting summaries from transcripts[1][2].
Challenges in meeting summarization include the difficulty of collecting confidential meeting data, the labor-intensive process of annotating summaries, and the need to capture key issues while excluding irrelevant discussions[4][5]. Recent research has focused on creating benchmark datasets[3][4][5] and developing advanced summarization models[2][3].
In summary, meeting summarization is a crucial skill for keeping teams aligned and productive, with various manual and automated techniques available to create high-quality summaries efficiently.
Citations: [1] https://fireflies.ai/blog/summarize-a-meeting [2] https://github.com/topics/meeting-summarization [3] https://paperswithcode.com/task/meeting-summarization [4] https://arxiv.org/abs/2305.17529 [5] https://aclanthology.org/2023.acl-long.906.pdf
Tiny titans - Can smaller LLM models punch above their weight for meeting summarization
Originally posted by @manisnesan in https://github.com/manisnesan/fastchai/issues/47#issuecomment-1928762586
Questions