Can you shed some light on what you think are the most valuable methods for identifying high entropy examples for the model to learn faster? I'm familiar with Pool-Based Sampling, Stream-Based Selective Sampling, Membership Query Synthesis[1], but less certain which techniques are most useful in NLP.
Can you shed some light on what you think are the most valuable methods for identifying high entropy examples for the model to learn faster? I'm familiar with Pool-Based Sampling, Stream-Based Selective Sampling, Membership Query Synthesis[1], but less certain which techniques are most useful in NLP.
[1] https://blog.roboflow.com/what-is-active-learning/