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| Semantic consistency: A local subspace based method for distant supervised relation extraction | |
| Han, Xianpei (1); Sun, Le (1) | |
| 2014 | |
| Conference Name | 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 |
| Pages | 718-724 |
| Conference Date | June 22, 2014 - June 27, 2014 |
| Conference Place | Baltimore, MD, United states |
| Indexed Type | EI |
| Publish Place | Association for Computational Linguistics (ACL) |
| ISBN | 9781937284732 |
| Department | (1) State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, HaiDian District, Beijing, China |
| English Abstract | One fundamental problem of distant supervision is the noisy training corpus problem. In this paper, we propose a new distant supervision method, called Semantic Consistency, which can identify reliable instances from noisy instances by inspecting whether an instance is located in a semantically consistent region. Specifically, we propose a semantic consistency model, which first models the local subspace around an instance as a sparse linear combination of training instances, then estimate the semantic consistency by exploiting the characteristics of the local subspace. Experimental results verified the effectiveness of our method. © 2014 Association for Computational Linguistics.; One fundamental problem of distant supervision is the noisy training corpus problem. In this paper, we propose a new distant supervision method, called Semantic Consistency, which can identify reliable instances from noisy instances by inspecting whether an instance is located in a semantically consistent region. Specifically, we propose a semantic consistency model, which first models the local subspace around an instance as a sparse linear combination of training instances, then estimate the semantic consistency by exploiting the characteristics of the local subspace. Experimental results verified the effectiveness of our method. © 2014 Association for Computational Linguistics. |
| Language | 英语 |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/16630 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation GB/T 7714 | Han, Xianpei ,Sun, Le . Semantic consistency: A local subspace based method for distant supervised relation extraction[C]. Association for Computational Linguistics (ACL),2014:718-724. |
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