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To BERT or Not to BERT: Comparing Task-specific and Task-agnostic
  Semi-Supervised Approaches for Sequence Tagging

To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging

27 October 2020
Kasturi Bhattacharjee
Miguel Ballesteros
Rishita Anubhai
Smaranda Muresan
Jie Ma
Faisal Ladhak
Yaser Al-Onaizan
    SSL
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Papers citing "To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging"

2 / 2 papers shown
Title
RideKE: Leveraging Low-Resource, User-Generated Twitter Content for Sentiment and Emotion Detection in Kenyan Code-Switched Dataset
RideKE: Leveraging Low-Resource, User-Generated Twitter Content for Sentiment and Emotion Detection in Kenyan Code-Switched Dataset
Naome A. Etori
Maria L. Gini
76
2
0
10 Feb 2025
What do we Really Know about State of the Art NER?
What do we Really Know about State of the Art NER?
Sowmya Vajjala
Ramya Balasubramaniam
19
15
0
29 Apr 2022
1