【摘要】 在日常生活中,中文组织机构名简称被广泛使用。作为新词的重要来源之一,简称的识别和生成已成为自然语言处理领域研究的重点之一。分析中文组织机构名简称生成的特点,提出一种基于中文分词信息的组织机构名简称生成方法,并使用条件随机场建立自动生成模型。采用上海组织机构简称实际数据的实验结果,其Top-5的覆盖率达到了96.34%。更多还原

【Abstract】 In people’s routine life,Chinese organization abbreviations are widely used. As an important source of new words,it is an important point to study in the natural language handling field to recognize and generate abbreviations. The article analyzes the characteristics of the generation of Chinese organization abbreviations,proposes a generation method for organization abbreviations based on Chinese segmentation information,and establishes an automatic generation model by CRF. By referring to the experiment results from Shanghai organization abbreviations actual data,its Top-5 coverage reaches 96. 34%.更多还原