How to improve on BERT embeddings for long-form doc search

Ғылым және технология

Yext data scientists Michael Misiewicz and Allison Rossetto present "How to improve on BERT embeddings for long-form doc search" to a New York Natural Language Processing meetup audience, April 25, 2022, moderated by Seth Grimes.
For the NY NLP meetup, visit www.meetup.com/NY-NLP/.

Пікірлер: 4

  • @ppujari
    @ppujari2 жыл бұрын

    segmentation part is not clear. Lookslike speaker is not intended to tell.

  • @KwanyuetHo
    @KwanyuetHo2 жыл бұрын

    I think I still have the questions about merging cross products. From what I understand cross products between two vectors are only defined for three-dimensional vectors. Is there an extension to n dimensions? Is it something from differential geometry? Or are you talking about outer products?

  • @johnryan8645
    @johnryan8645 Жыл бұрын

    Clifford algebras do high dimensional cross products.

  • @justingidman1684
    @justingidman16842 жыл бұрын

    ᴘʀᴏᴍᴏsᴍ

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