AdaICL: Which Examples to Annotate of In-Context Learning? Towards Effective and Efficient Selection
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Updated
Oct 30, 2023 - Python
AdaICL: Which Examples to Annotate of In-Context Learning? Towards Effective and Efficient Selection
Active learning in NLP
Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models (EMNLP 2024)
AL for rare class strategies compared in the paper "Transfer and Active Learning for Dissonance Detection: Addressing the Rare Class Challenge" adapted, to be used out-of-the-box.
Framework to study the use of deep active learning for biomedical relation extraction
Active Learning for Text Classification using Small-Text
The goal of this project is to quantify opinions on a subject (person, company, movement, etc...) and understand why people feel the way they feel about it
ASReview Classifer Model Extension with ensemble classifiers
The code and data for our EMNLP 2023 Findings paper: MEAL.
System for Training-based Expansion of Tools for Proper Name Mentions Recognition Based on Active Learning
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