计算机科学 ›› 2012, Vol. 39 ›› Issue (Z11): 191-194.
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李君婵，谭红叶，王风娥
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摘要： 目前，时间信息识别在信息抽取、问答系统、摘要生成、话题跟踪和检测等领域中有着广泛应用，同时也是自然语言处理的重要研究任务之一。针对TempEval-2会议评测任务中的时间表达式识别和类型识别任务:1)句内时间表达式识别，2)时间表达式类型识别，分别提出了基于词性构建时间单元规则库的识别方法以及基于最大嫡的类型识别方法。实验对象为中文，结果显示时间表达式识别的准确率为85.16%，时间表达式类型识别的准确率为93.02%。
关键词: 时间表达式，规则，时间表达式类型，最大嫡，自然语言处理
Abstract: At present, time expression recognition plays an important role in information extraction, ctuestion answering,summary generation, topic detection and tracking. Then, it has become one of the most important tasks in natural language processing. This article mainly studies two tasks of TempEval-2:the temporal expression recognition in one sentence and the temporal type identification. This paper proposes a method based on rule base,which is generated by "Unit of time" based POS tagging to indentify the time expression, and a method based on ME model to label the type of time expression. The experiments show that the accuracies of the two tasks are respectively 85.16% and 93. 02%.
Key words: Temporal expression, Rule, Time expression type, Maximum entropy model,Natural language processing
李君婵，谭红叶，王风娥. 中文时间表达式及类型识别[J]. 计算机科学, 2012, 39(Z11): 191-194. https://doi.org/
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