Text Annotation
Text annotation involves assigning labels or tags to text data, facilitating tasks like sentiment analysis, topic classification, and named entity recognition. Current research heavily utilizes large language models (LLMs), often employing techniques like few-shot prompting and prompt engineering to improve annotation accuracy and efficiency, while also emphasizing human-in-the-loop validation to address biases and inconsistencies. This automated annotation is crucial for scaling up machine learning applications across diverse fields, from social sciences and document processing to medical image analysis and software engineering, enabling more efficient and robust analysis of large textual datasets.
Papers
November 9, 2023
October 18, 2023
July 25, 2023
July 5, 2023
June 18, 2023
June 13, 2023
May 31, 2023
May 23, 2023
April 21, 2023
April 17, 2023
March 16, 2023
December 16, 2022
December 12, 2022
August 7, 2022
June 2, 2022
January 17, 2022
December 14, 2021