A Task Oriented Natural Language Understanding Model

Abstract

A theoretical task oriented natural language understanding(NLU) model is provided in this paper, together with a practical application based on it. The model is based on sentence framework (regular language mode in specific areas), chunks, etc. And it consists of following modules: post-process, NLU, target searching, connection, action. Every module is discussed in detail taking the application as example. The NLU module is of great importance, and we place emphasis on it. The success of our application shows that the model provided in this paper is feasible in specific task areas. The sentence framework, together with chunks, is very important in expressing sentence meaning. Verbs are of great important in sentence analysis. And we can use this model and methods provided in this paper to build many applications in various areas. Further more, the model and methods are worth reference in processing other domains’ problems.

The research product is sponsored by national 863 plan (Contract number : 863-306-ZD03-04-1). Zeng Yuming, PH.D candidate, interesting in NLP. Wang Yongcheng, Prof. Tutor of PH.D, Wu Fangfang, Master candidate.