Measuring and Reducing Model Update Regression in Structured Prediction for NLP

Neural Information Processing Systems 

Recent advance in deep learning has led to the rapid adoption of machine learning-based NLP models in a wide range of applications. Despite the continuous gain in accuracy, backward compatibility is also an important aspect for industrial applications, yet it received little research attention.