Heuristics based semantic annotation of biodiversity documents in Chinese

• 作者: Fei JU Hong CUI Yufeng DUAN Zhenzhen HEI
• 来源期刊: 中国文献情报：英文版
• 学科: 生物学
• 关键词: Heuritistics BASED method LEADING word analysis TA
• 年，卷（期）: 2013,（2）
• 页码范围: 33-46
• 页数: 14页
• 分类号: Q16

摘要

Purpose: To design an efficient high-performance algorithm for semantic annotation of biodiversity documents in Chinese.Design/methodology/approach: Data set consists of 1,000 randomly selected documents from Flora of China. Comparative evaluation of the proposed approach with the Na ve Bayes algorithm have been developed before for the same purpose.Findings: Experimental results show that the heuristics based algorithm outperformed the Na ve Bayes algorithm. The use of leading words helped improving the annotation performance while prioritizing rule application based on their weights had no significant impact on algorithm performance.Research limitations: The ICTCLAS was used to identify word boundaries off-shelf without optimatization for biodiversity domain. This may have not made the best use of the tool.Practical implications & Originality/value: The performance of heuristics based approach,enhanced by leading words analysis, reached an F value of 0.9216, which is sufficiently accurate for practical use.