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Stud Health Technol Inform · Jan 2015
Development and evaluation of task-specific NLP framework in China.
- Caixia Ge, Yinsheng Zhang, Zhenzhen Huang, Zheng Jia, Meizhi Ju, Huilong Duan, and Haomin Li.
- College of Biomedical Engineering and Instrument Science, Zhejiang University, The Key Laboratory of Biomedical Engineering, Ministry of Education, Hangzhou, China.
- Stud Health Technol Inform. 2015 Jan 1; 216: 1031.
AbstractNatural 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.
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