Notes taken by users are often unstructured, e.g., users may mix notes from different meetings into one document or divide notes from one meeting-series across different documents. This increases the difficulty in the retrieval and clustering of notes relevant to a particular topic. Currently, in a tedious process, users that want to organize their jottings from several meetings manually select and collate relevant sections into a single document. This disclosure describes techniques to automatically cluster and assemble relevant meeting notes that are present across one or more documents to generate a single, theme-based view, based, e.g., on topic, co-attendees, location, meeting-series, etc. or combinations thereof.
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Feuz, Sandro; Deselaers, Thomas; Gervais, Philippe N.; Zhu, Julie; Dua, Robin; Bunner, Andrew; Pichai, Prithi; Wuellner, Trond Thomas; Walker, Jake; Kim, Jin; and Yong, Ming Guang, "Slicing Notes Based on Context Data and Meeting Activity", Technical Disclosure Commons, (March 11, 2020)