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Responsible NLP Blog

Advances in Ethics, Privacy, Security, Fairness, Reliability, Transparency, and Accountability in Natural Language Processing.

In lessons learned annotating training data for healthcare NLP projects, will explain the best strategies for getting the training data you need, the mistakes you should be able to avoid...

Many people I know, started reading and learning about Machine learning after realizing its power through the evolution of face recognition. Everyone is wondering how can machine learning help in...

Machine Learning vs. Statistical Modeling There are lots of differences between traditional statistical modeling and machine learning. Machine learning depends on computer algorithms, few estimates, and small to large datasets...