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
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.
Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models (EMNLP 2024)
Framework to study the use of deep active learning for biomedical relation extraction
Active Learning for Text Classification using Small-Text
ASReview Classifer Model Extension with ensemble classifiers
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
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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