ALMa: Active Learning (Data) Manager
Active Learning is a popular technique to reduce annotation costs by using AI to decide what to label next. The subtle bookkeeping involved in …
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NLP
Simpledorff: Krippendorff's Alpha on DataFrames
tl;dr Calculate Krippendorff’s Alpha on any DataFrame in two lines. Repo is here !pip install simpledorff import simpledorff import pandas as pd …
Efficiently Labeling Data for NLP
Deep learning applied to NLP has allowed practitioners understand their data less, in exchange for more labeled data. Thus, labeled data has become …
Embrace the Noise: A Case Study of Text Annotation for Medical Imaging
In this post we’ll discuss the recent paper TextRay: Mining Clinical Reports to Gain a Broad Understanding of Chest X-rays focusing on the best …
Active Learning: Optimization Is Not Improvement
Labeled data has become paramount to the success of many business ventures and research projects. But obtaining labeled data remains a costly …