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Leveraging Large Language Models and Weak Supervision for Social Media
  data annotation: an evaluation using COVID-19 self-reported vaccination
  tweets

Leveraging Large Language Models and Weak Supervision for Social Media data annotation: an evaluation using COVID-19 self-reported vaccination tweets

12 September 2023
Ramya Tekumalla
Juan M. Banda
ArXivPDFHTML

Papers citing "Leveraging Large Language Models and Weak Supervision for Social Media data annotation: an evaluation using COVID-19 self-reported vaccination tweets"

5 / 5 papers shown
Title
The Parrot Dilemma: Human-Labeled vs. LLM-augmented Data in
  Classification Tasks
The Parrot Dilemma: Human-Labeled vs. LLM-augmented Data in Classification Tasks
Anders Giovanni Møller
Jacob Aarup Dalsgaard
Arianna Pera
L. Aiello
67
33
0
26 Apr 2023
ChatGPT: Beginning of an End of Manual Linguistic Data Annotation? Use
  Case of Automatic Genre Identification
ChatGPT: Beginning of an End of Manual Linguistic Data Annotation? Use Case of Automatic Genre Identification
Taja Kuzman
I. Mozetič
Nikola Ljubesic
49
87
0
07 Mar 2023
Identifying epidemic related Tweets using noisy learning
Identifying epidemic related Tweets using noisy learning
Ramya Tekumalla
Juan M. Banda
NoLa
14
1
0
10 Sep 2022
TweetDIS: A Large Twitter Dataset for Natural Disasters Built using Weak
  Supervision
TweetDIS: A Large Twitter Dataset for Natural Disasters Built using Weak Supervision
Ramya Tekumalla
Juan M. Banda
6
4
0
11 Jul 2022
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
243
1,791
0
17 Sep 2019
1