Development and evaluation of task-specific NLP framework in China
Ge, C.; Zhang, Y.; Huang, Z.; Jia, Z.; Ju, M.; Duan, H.; Li, H.
Studies in Health Technology and Informatics 216: 1031
2015
ISSN/ISBN: 1879-8365 PMID: 26262331 Document Number: 679944
Natural language processing (NLP) has been designed to convert narrative text into structured data. Although some general NLP architectures have been developed, a task-specific NLP framework to facilitate the effective use of data is still a challenge in lexical resource limited regions, such as China. The purpose of this study is to design and develop a task-specific NLP framework to extract targeted information from particular documents by adopting dedicated algorithms on current limited lexical resources. In this framework, a shared and evolving ontology mechanism was designed. The result has shown that such a free text driven platform will accelerate the NLP technology acceptance in China.