This is online AI tech talk event, you can join from anywhere with zoom, please register and attend here: https://learn.xnextcon.com/event/eventdetails/W2020101910 ======== Abstract: Deep learning-based NLP technologies like BERT (Bidirectional Encoder Representations from Transformers) have recently made headlines for showing significant improvements in areas such as semantic understanding w
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This is online AI tech talk event, you can join from anywhere with zoom, please register and attend here: https://learn.xnextcon.com/event/eventdetails/W2020101910
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Abstract:
Deep learning-based NLP technologies like BERT (Bidirectional Encoder Representations from Transformers) have recently made headlines for showing significant improvements in areas such as semantic understanding when contrasted with prior NLP techniques. However, exploiting the power of BERT in search and recommender systems is a non-trivial task, due to the heavy computation cost of BERT models.
To provide a unified technical solution, we developed DeText, a state-of-the-art open source NLP framework for text understanding. In this talk, we will introduce DeText, with live demo. We will discuss:
* Overview on DeText
* Technical architect and design of DeText
* Illustrate how neural ranking is designed and developed in DeText
* Live demo
More on DeText: https://engineering.linkedin.com/blog/2020/open-sourcing-detext
Social networking with speakers, attendees 30mins before/after the event on slack. Join slack by the invitation: https://bit.ly/3gi7bjf . The two channels:
#jobs for job posting from speakers, partners, sponsors companies, and you can Q&A with hiring managers right in the channel.
#events for events Q&A, mixing and networking with speakers and other peer attendees.
Monday, October 19, 2020
5:00 PM – 7:00 PM (UTC)
Online event
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