A Semantic Role Labeling and Semantic Extraction Method for Unrestricted Path Natural Language

Abstract

The invention relates to a semantic role tagging and semantic extracting method of an unrestricted path natural language. The method comprises the steps that firstly Chinese path natural language linguistic data under an unrestricted condition is collected and a Chinese path natural language linguistic database is built; secondly, automatic tagging of the path natural language linguistic data is achieved by using the semantic role tagging method based on chunk analysis and dependency grammar analysis; finally, according to a semantic role tagging result, path unit division is sequentially conducted, and navigational semantic information of path units is extracted. Path natural language semantic role tagging is conducted by using the semantic role tagging method based on chunk analysis and dependency grammar analysis, according to the extracted semantic role tagging result, path unit division is conducted, and finally the semantic information of the path units is extracted. By means of the method, path unit division can be sequentially and accurately conducted, the path semantic information can be accurately extracted, and accordingly the method can provide guidance for smooth implementation of asking for directions and navigation with a robot.

Description

technical field [0001] The invention relates to a semantic role labeling and semantic extraction method of natural language used for robot navigation, and belongs to the technical field of data processing. Background technique [0002] Natural language processing is an important branch in the field of artificial intelligence, which aims to study the method of communication between computers and humans using natural language. Natural language processing is not a simple study of the grammar and syntactic relationship of natural language, but a system that can effectively realize computer communication or human-computer interaction based on natural language, which is a part of computer science. Using natural language to realize human-computer interaction means that computers can not only understand natural language, but also use natural language to express thoughts, intentions, etc. The former is natural language understanding and the latter is natural language generation. ...

AI Technical Summary

Problems solved by technology

[0007] 2. Under the condition of unrestricted path natural language, the relationship between the syntax and semantics of path natural language is more complicated, and it is difficult to accurately carry out path natural language semantics only relying on the existing path natural language semantic role labeling method Role annotation, which affects the accuracy of navigation semantic information extraction;

Images