RESEARCH OF THE METHOD FOR OBTAINING SEMANTIC KNOWLEDGE IN THE SYSTEM OF CI-NLU BASED TEXT PROCESSING AFTER SPEECH RECOGNITION

摘要：

How to obtain the high-level knowledge, such as semantic knowledge, to do deep processing of natural language is a focus in the field of natural language processing (NLP) these days. In this paper, we do research on the construction of semantic acknowledge base against the background of post-processing of speech recognition. Based on reviewing existing methods, authors present and realize a new domain-independent algorithm that applies to a single document and considers the impact of context. In the test, this algorithm shows well performance and the knowledge base can meet the need of project.

关键词： Semantic knowledge core words contezt

作者: Jun WANG Lei LI Lixia LONG

作者单位: Beijing University of Posts and Telecommunications. Beijing, China

会议类型: 国际会议

会议名称: International Conference on Natural Language Processing and Knowledge Engineering(IEEE自然语言处理与知识工程国际会议 IEEE NLP-KE 2009)

会议地点: 大连

会议语种:英文

页码: 1-6

在线出版日期: 2009-09-24（万方平台首次上网日期，不代表论文的发表时间）