Next
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: A Hybrid Deep Learning Approach for Spatial Trigger Extraction from Radiology Reports
      0:00 / 0:00
      • Report Issue
      • Settings
      • Playlists
      • Bookmarks
      • Subtitles Off
      • Playback rate
      • Quality
      • Settings
      • Debug information
      • Server sl-yoda-v3-stream-015-alpha.b-cdn.net
      • Subtitles size Medium
      • Bookmarks
      • Server
      • sl-yoda-v3-stream-015-alpha.b-cdn.net
      • sl-yoda-v3-stream-015-beta.b-cdn.net
      • 1963568160.rsc.cdn77.org
      • 1940033649.rsc.cdn77.org
      • Subtitles
      • Off
      • English
      • Playback rate
      • Quality
      • Subtitles size
      • Large
      • Medium
      • Small
      • Mode
      • Video Slideshow
      • Audio Slideshow
      • Slideshow
      • Video
      My playlists
        Bookmarks
          00:00:00
            A Hybrid Deep Learning Approach for Spatial Trigger Extraction from Radiology Reports
            • Settings
            • Sync diff
            • Quality
            • Settings
            • Server
            • Quality
            • Server

            A Hybrid Deep Learning Approach for Spatial Trigger Extraction from Radiology Reports

            Nov 16, 2020

            Speakers

            SD

            Surabhi Datta

            Speaker · 0 followers

            KR

            Kirk Roberts

            Speaker · 0 followers

            Organizer

            E2
            E2

            EMNLP 2020

            Account · 1.2k followers

            Categories

            AI & Data Science

            Category · 10.8k presentations

            About EMNLP 2020

            The 2020 Conference on Empirical Methods in Natural Language Processing

            Like the format? Trust SlidesLive to capture your next event!

            Professional recording and live streaming, delivered globally.

            Interested in talks like this? Follow EMNLP 2020