自动构建时间基元规则库的中文时间表达式识别

Chinese Time Expression Recognition Based on Automatically Generated Basic-Time-Unit Rules

该文提出一种基于正则文法的时间表达式识别算法:它基于"时间基元"①进行规则构建,提高了时间表达式识别的召回率;同时使用基于错误驱动思想的规则剪枝算法,削减了从训练语料带来的噪声,提高了识别的正确率,两者搭配有效提高了系统整体性能。在ACE07中文语料上的实验结果显著超过了现有水平,F-score达到89.9%。该文提出的算法具有很好的通用性和扩展性,加以改进将可以有更广泛的应用。

This paper proposes a generic algorithm for Time Expression Recognition（TER） task based on regular expressions.The algorithm generates rules based on ＂Basic Time Unit＂,which improves the recall value.And it prunes the rule collection through error driven method and reduces the ＂noise＂ taken from training corpus,which leads to a high precision.The two features jointlyimprove the overall efficiency of our method compared to the baseline system： with a significant better performance of up to 89.9% F-score on ACE07 Chinese Corpus.In addition,the proposed algorithm has good adaptablility and scalability for a broader application.