academic degree
From 2003 to 2007, I studied computer science and technology in Tsinghua University and got a bachelor's degree.
From 2007 to 2065438+02, he studied computer science and technology in Tsinghua University, and obtained a doctorate.
Business experience
20 12-20 14, working in Microsoft research Asia, engaged in artificial intelligence and natural language processing.
20 14- has worked in the artificial intelligence research institute of Baidu company, responsible for the research and development of natural language processing and machine learning.
Application of natural language processing technology in artificial intelligence
Natural language processing is an important branch of artificial intelligence. It involves the computer's understanding and generation of human language, and is the key technology to realize human-computer interaction, intelligent customer service, intelligent translation, intelligent writing and other applications.
Step 1: Text preprocessing
It is necessary to preprocess the text before natural language processing. The main contents of preprocessing include stop words removal, word segmentation and part-of-speech tagging.
Step 2: Feature extraction
Feature extraction is a key step in natural language processing. Commonly used feature extraction methods include bag model, TF-IDF model, Word2Vec model and so on.
Step 3: Model training
Model training is the core step of natural language processing. Commonly used models include naive Bayesian model, support vector machine model, deep learning model and so on.
Step 4: Apply the scenario
Natural language processing technology can be applied to many scenarios, such as intelligent customer service, intelligent translation, intelligent writing and so on. Among them, intelligent customer service is one of the most widely used fields of natural language processing technology.