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What do you do to speed up NLP data labeling?

Tags: Software, Software

Have you ever heard about Counterfactual data augmentation? It can help to speed up NLP data labeling. Different machine learning models and their performance have been analyzed on the original data to understand how well counterfactual data can improve performance on the text classification task.

Let me know, what people out there are using to speed up NLP data labeling?

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Frankly.

In reply to What do you do to speed up NLP data labeling?

Given the low cost of faster or more hardware over the high cost of programming and projects I agree with others that you pay for faster computers or place it on a cloud/supercomputer cluster.

Tools for data labelling (text)? (X-POST /r/MachineLearning)?

In reply to What do you do to speed up NLP data labeling?

Before I go off and roll my own, are there any (open-source) frameworks available for labelling textual datasets? Really just looking for something simple that churns through files in a specified directory, displays the document on the left, a set of labels on the right, and saves the tags that each user applies to each document. Ideally multi-user (so it could be used on Mechanical Turk in future) but that’s not a dealbreaker at this stage

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