Pretrained Models for NER: A Rigorous Study 📚
Episode 014 of Research Papers Summary explores key insights on pretrained models for Named Entity Recognition (NER) and their impact.
Ryan Ong
326 views • Apr 18, 2021
About this video
Episode 014 of Research Papers Summary series, where I summarise key contributions and ideas of AI-related research papers.
0:00 Intro
00:56 Context and Contributions
01:38 Randomisation Tests
02:52 Experimental Results
Today's video covers an EMNLP 2020 paper on A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land? by Lin et al. (2020).
🔗 Link to paper: https://www.aclweb.org/anthology/2020.emnlp-main.592.pdf
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0:00 Intro
00:56 Context and Contributions
01:38 Randomisation Tests
02:52 Experimental Results
Today's video covers an EMNLP 2020 paper on A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land? by Lin et al. (2020).
🔗 Link to paper: https://www.aclweb.org/anthology/2020.emnlp-main.592.pdf
💌 Join my exclusive weekly newsletter for more AI, Entrepreneurship, and Life Design content: https://ryanocm.substack.com/
You can find me at:
🎮 Website: https://ryanong.co.uk/
🎮 #NLP365 blog: https://ryanong.co.uk/natural-languag...
🎮 LinkedIn: https://www.linkedin.com/in/ryanong10...
🎮 Instagram: https://www.instagram.com/ryan_ong.cm/
🎮 Medium: https://medium.com/@ryan.m.ong
🎮 Twitter: https://twitter.com/Ryan_Ong10
Video Information
Views
326
Likes
6
Duration
6:22
Published
Apr 18, 2021