Research on Sports Game News Information Extraction

With the development of Internet and the development of information technology, a tremendous amount of news information appears everyday. How to extract the useful knowledge is a burning problem. The sports game news-oriented information extraction system introduced in the paper combined the statistics-based hidden Markov model (HMM) and rule-based method based on the technology of natural language processing and information extraction. The system could transform Chinese sports game news in free text or html pages into structured data of useful knowledge automatically. In addition, we studied named entity recognition for knowledge candidates using rule-based method. Testing results have shown that the performance is good.