金融领域的事件句抽取
事件句抽取是事件抽取中的核心环节，在金融领域中，公司名识别则是事件句抽取中的重点和难点。针对金融领域的事件句抽取，首先充分利用互联网搜索和上市公司名信息进行公司名识别，如果一个Ⅳ元组是公司名，则进行互联网搜索的结果中包含“公司”“集团”等字词多，同时与公司名库中部分公司名有较高的匹配度；其次，综合考虑句子位置信息、包含公司名信息、包含领域动词信息、与标题相似度四个方面特征，构造权值表达式；最终从句子集中选出金融事件句。在数据集上测试，实验结果证明提出的金融领域事件句抽取方法是可行的，公司名识别方法的正确率可达82．28％，召回率达68．93％，事件句抽取的正确率可达66．83％。...
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| Published in | 计算机应用研究 Vol. 34; no. 10; pp. 2915 - 2918 |
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| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
北京信息科技大学网络文化与数字传播北京市重点实验室,北京,100101%首都师范大学北京成像技术高精尖创新中心,北京,100048
2017
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1001-3695 |
| DOI | 10.3969/j.issn.1001-3695.2017.10.008 |
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| Abstract | 事件句抽取是事件抽取中的核心环节，在金融领域中，公司名识别则是事件句抽取中的重点和难点。针对金融领域的事件句抽取，首先充分利用互联网搜索和上市公司名信息进行公司名识别，如果一个Ⅳ元组是公司名，则进行互联网搜索的结果中包含“公司”“集团”等字词多，同时与公司名库中部分公司名有较高的匹配度；其次，综合考虑句子位置信息、包含公司名信息、包含领域动词信息、与标题相似度四个方面特征，构造权值表达式；最终从句子集中选出金融事件句。在数据集上测试，实验结果证明提出的金融领域事件句抽取方法是可行的，公司名识别方法的正确率可达82．28％，召回率达68．93％，事件句抽取的正确率可达66．83％。 |
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| AbstractList | 事件句抽取是事件抽取中的核心环节，在金融领域中，公司名识别则是事件句抽取中的重点和难点。针对金融领域的事件句抽取，首先充分利用互联网搜索和上市公司名信息进行公司名识别，如果一个Ⅳ元组是公司名，则进行互联网搜索的结果中包含“公司”“集团”等字词多，同时与公司名库中部分公司名有较高的匹配度；其次，综合考虑句子位置信息、包含公司名信息、包含领域动词信息、与标题相似度四个方面特征，构造权值表达式；最终从句子集中选出金融事件句。在数据集上测试，实验结果证明提出的金融领域事件句抽取方法是可行的，公司名识别方法的正确率可达82．28％，召回率达68．93％，事件句抽取的正确率可达66．83％。 TP391.1; 事件句抽取是事件抽取中的核心环节,在金融领域中,公司名识别则是事件句抽取中的重点和难点.针对金融领域的事件句抽取,首先充分利用互联网搜索和上市公司名信息进行公司名识别,如果一个N元组是公司名,则进行互联网搜索的结果中包含“公司”“集团”等字词多,同时与公司名库中部分公司名有较高的匹配度;其次,综合考虑句子位置信息、包含公司名信息、包含领域动词信息、与标题相似度四个方面特征,构造权值表达式;最终从句子集中选出金融事件句.在数据集上测试,实验结果证明提出的金融领域事件句抽取方法是可行的,公司名识别方法的正确率可达82.28％,召回率达68.93％,事件句抽取的正确率可达66.83％. |
| Abstract_FL | Event sentence recognition is an important part of the event extraction,and in the financial field,the identification of the company's name is an essential as well as a difficult part of the event sentence recognition.For the event sentence identification in the financial field,this paper first made full use of the Intemet search information to identify the company's name.Secondly,it considered four factors to construct the value of multi-factor expression:the position of the sentence,the information of the company name,the domain verb information and the similarity between sentence and title.Finally,it chosed the financial event sentences from the sentence sets.The experimental results prove the method's feasibility that the correct rate of the company name recognition method is 82.28％,and the recall rate is 68.93％.And the correct rate of event sentence recognition is 66.83％. |
| Author | 李江龙 吕学强 周建设 刘秀磊 |
| AuthorAffiliation | 北京信息科技大学网络文化与数字传播北京市重点实验室,北京100101 首都师范大学北京成像技术高精尖创新中心,北京100048 |
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| Author_FL | Liu Xiulei Lyu Xueqiang Zhou Jianshe Li Jianglong |
| Author_FL_xml | – sequence: 1 fullname: Li Jianglong – sequence: 2 fullname: Lyu Xueqiang – sequence: 3 fullname: Zhou Jianshe – sequence: 4 fullname: Liu Xiulei |
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| ClassificationCodes | TP391.1 |
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| Copyright | Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
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| Keywords | event sentence company name identification event extraction 事件句 公司名识别 事件抽取 abbreviation 简称 |
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| Notes | company name identification; event sentence; abbreviation; event extraction 51-1196/TP Li Jinnglong 1, Lyu Xueqiang1, Zhou Jianshe2, Liu Xiulei1 （ 1. Beijing Key Laboratory of Internet Culture ＆ Digital Dissemination Research, Beijing Information Science ＆ Technology University, Beijing 100101, China; 2. Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing 100048, China） Event sentence recognition is an important part of the event extraction, and in the financial field, the identification of the company＇ s name is an essential as well as a difficult part of the event sentence recognition. For the event sentence identification in the financial field, this paper first made full use of the Internet search information to identify the company＇ s name. Secondly, it considered four factors to construct the value of multi-factor expression ： the position of the sentence, the information of the company name, the domain verb information and the similarity between sentence and title |
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| Publisher | 北京信息科技大学网络文化与数字传播北京市重点实验室,北京,100101%首都师范大学北京成像技术高精尖创新中心,北京,100048 |
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| SubjectTerms | 事件句 事件抽取 公司名识别 简称 |
| Title | 金融领域的事件句抽取 |
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