Building Semantic Knowledge-Bank Based On The Binary Combinatorial Grammar

Syntax analysis is always one of the most important fields of natural language processing, and the research has made great progress on this field. From the beginning of the 1980's, the focus of syntactic Analysis has gradually shifted to semantic processing, and words phrase in semantic processing is the focus of focus. Whether to machine translation, information extraction or manage lexical ambiguity, semantic representation system is the essential foundation resources in all these applications.This thesis first gave the description of Binary Combinatorial Grammar on which the whole system and the semantic system are based. Then, we introduce the overall system of the syntactic analysis. In the parsing process, syntactic and semantic analyses interact mutually, and the system is the source of the analysis and disambiguation.The ensuing chapter introduces the main semantic designing theories and representative semantic knowledge banks. Their description thesis includes many aspects, involving both classified relation and synonyms,similar relations. Generally, however, they are not directly meet the Chinese information processing application needs, but could be the learning resources of the bank.From the actual needs of the syntactic analysis, we designed the structure of semantic knowledge bank. The bank is composed of word library,semantic collocation library,class library and maintaince subsystem. The word library is the center of the whole bank. The semantic collocation library storages binary semantic collocation relations between two words. The classification library descriptions the relative relationship in certain system, and the component system descriptions the entire and the part relations.Then, The last chapter discussed the method to collect semantic knowledge. First of all, we introduced. the HIT Treebank and Proof that the dependent tree can be converted to binary tree. Subsequently, based on statistics algorithm to match collocation, we adapted the method of collocation types adding statistical methods and the accuracy and recall-rate were improved significantly. We mainly used artificial methods to judge classification and component knowledge from Hownet and Wordnet, so we could be sure of the accuracy of the knowledge. Then we adapted the pattern-recognition method to find knowledge from corpus. After then we have preliminarily built the semantic knowledge bank to meet the need of the syntax analysis.The project is complicated and difficult and so we could only do our research on a limited domain. However, we have found a viable technological path for the realization of parsing system to provide the basic resources. The semantic knowledge base can also be used to other Chinese information processing application and provide the basic source of knowledge. The application prospects are bright.