关键词: 自然语言处理, 自动问答, 人工智能, 深度学习

Abstract:

With the rapid development of Natural Language Processing（NLP）, automatic Question & Answer （QA） system has attracted the attention of researchers. The essence of Table QA is the process of using the information of the table knowledge base to query and reason, and get the answer under the condition of the given question text in the form of natural language. From the perspective of semantic analysis method, this paper analyzes the question answering model, algorithm, data set and other related problems based on tabular knowledge base. At the same time, combined with the development of artificial intelligence technology, the paper focuses on the difficulties and possible future challenges of table automatic question answering technology.

Key words: Natural Language Processing（NLP）, automatic question answering, artificial intelligence, deep learning