Research on Chinese proper nouns recognition based on pattern matching
Chinese proper nouns recognition (CPNR) plays an important role in the fields of Information Extraction, Question Answering and Text Mining. In this paper we proposed a novel pattern-matching-based method to recognize proper nouns (PNs), which includes person names, location names and organization names, and mainly conducted the following studies: (1) constructing the PNs inner-pattern set; (2) acquiring the PNs outer-patterns by clustering and evaluating automatically; (3) resolving the conflicts of the PNs recognition by computing PNs reliability; (4) conducting the experiment on 1.2M word corpus that are chosen from People Daily corpora. The experimental results, whose recall and precision are 83.4% and 80.1% respectively, indicate that the proposed method is feasible and effective.
Author's Name: Zhang, H., Zheng, J., Wang, X.
Volume: Volume 5
Issues: Issue 6
Keywords: Information Extraction, Natural Language Processing, Pattern-matching, Proper Nouns Recognition