Multi-factor person entity relation extraction model based on distant supervision
Aiming at the problem that the basic assumption of distant supervision was too strong and easy to produce noise data,a model of the person entity relation extraction which could automatically filter the training data generated by distant supervision was proposed.For training data generation,the data...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2018-07-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018118/ |
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| _version_ | 1841539422670028800 |
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| author | Yangchen HUANG Yan JIA Liang GAN Jing XU Jiuming HUANG Zhonghe HE |
| author_facet | Yangchen HUANG Yan JIA Liang GAN Jing XU Jiuming HUANG Zhonghe HE |
| author_sort | Yangchen HUANG |
| collection | DOAJ |
| description | Aiming at the problem that the basic assumption of distant supervision was too strong and easy to produce noise data,a model of the person entity relation extraction which could automatically filter the training data generated by distant supervision was proposed.For training data generation,the data produced by distant supervision would be filtered by multiple instance learning and the method of TF-IDF-based relation keyword detecting,which tried to make the training data has the manual annotation quality.Furthermore,the model combined lexical and syntactic features to extract the effective relation feature vector from two angles of words and semantics for classifier.The experiment results on large scale real-world datasets show that the proposed model outperforms other relation extraction methods which based on distant supervision. |
| format | Article |
| id | doaj-art-5bb9e989275e4f028d8c46d347d24563 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2018-07-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-5bb9e989275e4f028d8c46d347d245632025-01-14T07:15:07ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2018-07-013910311259719395Multi-factor person entity relation extraction model based on distant supervisionYangchen HUANGYan JIALiang GANJing XUJiuming HUANGZhonghe HEAiming at the problem that the basic assumption of distant supervision was too strong and easy to produce noise data,a model of the person entity relation extraction which could automatically filter the training data generated by distant supervision was proposed.For training data generation,the data produced by distant supervision would be filtered by multiple instance learning and the method of TF-IDF-based relation keyword detecting,which tried to make the training data has the manual annotation quality.Furthermore,the model combined lexical and syntactic features to extract the effective relation feature vector from two angles of words and semantics for classifier.The experiment results on large scale real-world datasets show that the proposed model outperforms other relation extraction methods which based on distant supervision.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018118/relation extractionperson entity relationdistant supervisionmachine learningnatural language processing |
| spellingShingle | Yangchen HUANG Yan JIA Liang GAN Jing XU Jiuming HUANG Zhonghe HE Multi-factor person entity relation extraction model based on distant supervision Tongxin xuebao relation extraction person entity relation distant supervision machine learning natural language processing |
| title | Multi-factor person entity relation extraction model based on distant supervision |
| title_full | Multi-factor person entity relation extraction model based on distant supervision |
| title_fullStr | Multi-factor person entity relation extraction model based on distant supervision |
| title_full_unstemmed | Multi-factor person entity relation extraction model based on distant supervision |
| title_short | Multi-factor person entity relation extraction model based on distant supervision |
| title_sort | multi factor person entity relation extraction model based on distant supervision |
| topic | relation extraction person entity relation distant supervision machine learning natural language processing |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018118/ |
| work_keys_str_mv | AT yangchenhuang multifactorpersonentityrelationextractionmodelbasedondistantsupervision AT yanjia multifactorpersonentityrelationextractionmodelbasedondistantsupervision AT lianggan multifactorpersonentityrelationextractionmodelbasedondistantsupervision AT jingxu multifactorpersonentityrelationextractionmodelbasedondistantsupervision AT jiuminghuang multifactorpersonentityrelationextractionmodelbasedondistantsupervision AT zhonghehe multifactorpersonentityrelationextractionmodelbasedondistantsupervision |