| 统计与规则相结合的术语抽取 |
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| 引用本文： | 唐涛,周俏丽,张桂平.统计与规则相结合的术语抽取[J].沈阳航空工业学院学报,2011,28(5):71-74. |
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| 作者姓名： | 唐涛 周俏丽 张桂平 |
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| 作者单位： | 沈阳航空航天大学知识工程研究中心,辽宁沈阳,110136 |
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| 摘 要： | 在面向特定领域的分词中，术语抽取效果的好坏会对分词精度产生很大影响。因此，高精度的术语抽取成为领域分词的基础工作。针对特定领域提出了一种统计和规则相结合的术语抽取方法。在条件随机场给出的5-best结果的基础上，通过规则及给分机制进行术语抽取，并对抽取结果利用规则进行后处理。实验表明，相比于传统的基于条件随机场1-best进行的术语抽取，该方法能够明显提高未登录术语的召回率。
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| 关 键 词： | 术语抽取 条件随机场 未登录术语 5-best |
Term extraction based on the combination of statistics and rules |
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| TANG Tao,ZHOU Qiao-li,ZHANG Gui-ping.Term extraction based on the combination of statistics and rules[J].Journal of Shenyang Institute of Aeronautical Engineering,2011,28(5):71-74. |
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| Authors: | TANG Tao ZHOU Qiao-li ZHANG Gui-ping |
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| Institution: | TANG Tao,ZHOU Qiao-li,ZHANG Gui-ping(Knowledge Engineering Research Center,Shenyang Aerospace University,Liaoning Shenyang 110136) |
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| Abstract: | The extraction of terms has a significant impact on the precision of domain-specific word segmentation.Based on the combination of statistics and rules,this paper proposes a method of term extraction for a certain specific.The 5-best results are achieved with Conditional Random Fields first,then the term extraction is performed with rules and scoring mechanism,finally the extracted data are post-processed with rules.Compared to the term extraction of 1-best output based on Conditional Random Fields,this met... |
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| Keywords: | term extraction Conditional Random Fields out-of-vocabulary term 5-best |
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