Introduction to Explainable Natural Language Processing Methods
Follow the official account “ML_NLP“ Set as “Starred“, valuable content delivered to you first! Author: Yang Chongyang, Harbin Institute of Technology SCIR 1. Introduction Traditional natural language processing methods are interpretable, including rule-based methods, decision tree models, hidden Markov models, logistic regression, etc., which are also known as white-box techniques. In recent years, deep learning … Read more