| 基于分隔符和上下文术语的领域现象术语抽取 |
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| 引用本文： | 刘里,刘小明. 基于分隔符和上下文术语的领域现象术语抽取[J]. 华南理工大学学报(自然科学版), 2011, 39(7): 146-149,155. DOI: 10.3969/j.issn.1000-565X.2011.07.024 |
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| 作者姓名： | 刘里 刘小明 |
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| 作者单位： | 北京理工大学计算机学院,北京,100081 |
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| 基金项目： | 国家自然科学基金资助项目(61003065) |
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| 摘 要： | 领域现象术语常常是复合型短语,很难根据局部上下文特征用传统的机器学习方法来抽取.为此,文中提出了一种领域现象术语的抽取方法.该方法首先用基于上下文的方法抽取得到分隔符集,然后结合分隔符集和上下文术语用改进的NC -value算法进行候选领域现象术语抽取,最后在候选领域现象术语中过滤掉名词性术语,进而得到最终结果.实验表...
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| 关 键 词： | 术语抽取 分隔符 复合词 NC -value算法 |
Extraction of Domain-Specific Phenomenal Terms Based on Separator and Contextual Terms |
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| Liu Li,Liu Xiao-ming. Extraction of Domain-Specific Phenomenal Terms Based on Separator and Contextual Terms[J]. Journal of South China University of Technology(Natural Science Edition), 2011, 39(7): 146-149,155. DOI: 10.3969/j.issn.1000-565X.2011.07.024 |
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| Authors: | Liu Li Liu Xiao-ming |
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| Affiliation: | Liu Li Liu Xiao-ming (School of Computer Science and Technology,Beijing Institute of Technology,Beijing 100081,China) |
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| Abstract: | As domain-specific phenomenal terms are usually compounds that are difficult to extract according to local context features via the traditional machine learning methods,a novel extraction method is proposed.In this method,first,the context-based method is employed to extract the separator set.Then,with the combination of the separator set and context terms,the improved NC-value algorithm is used to extract candidate phenomenal results.Finally,nominal terms are filtered out from the candidate phenomenal term... |
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| Keywords: | term extraction separator compound NC-value algorithm |
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