Semantic consistency: A local subspace based method for distant supervised relation extraction
文献类型:会议论文
作者 | Han, Xianpei (1) ; Sun, Le (1) |
出版日期 | 2014 |
会议名称 | 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 |
会议日期 | June 22, 2014 - June 27, 2014 |
会议地点 | Baltimore, MD, United states |
页码 | 718-724 |
中文摘要 | 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. |
英文摘要 | 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. |
收录类别 | EI |
会议录出版地 | Association for Computational Linguistics (ACL) |
语种 | 英语 |
ISBN号 | 9781937284732 |
源URL | [http://ir.iscas.ac.cn/handle/311060/16630] ![]() |
专题 | 软件研究所_软件所图书馆_会议论文 |
推荐引用方式 GB/T 7714 | Han, Xianpei ,Sun, Le . Semantic consistency: A local subspace based method for distant supervised relation extraction[C]. 见:52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014. Baltimore, MD, United states. June 22, 2014 - June 27, 2014. |
入库方式: OAI收割
来源:软件研究所
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