Learning to Link Entities with Knowledge Base

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dc.contributor.authorZheng, Zhicheng
dc.contributor.authorLi, Fangtao
dc.contributor.authorHuang, Minlie
dc.contributor.authorZhu, Xiaoyan
dc.date.accessioned2012-05-22T20:32:48Z
dc.date.available2012-05-22T20:32:48Z
dc.date.copyright2010
dc.date.issued2010-06
dc.descriptionHuman Language Technologies: The 2010 Annual Conference of the North American Chapter of the ACLen
dc.description.abstractThis paper address the problem of entity linking. Specifically, given an entity mentioned in unstructured texts, the task is to link this entity with an entry stored in the existing knowledge base. This is an important task for information extraction. It can serve as a convenient gateway to encyclopedic information, and can greatly improve the web users’ experience. Previous learning based solutions mainly focus on classification framework. However, it’s more suitable to consider it as a ranking problem. In this paper, we propose a learning to rank algorithm for entity linking. It effectively utilizes the relationship information among the candidates when ranking. The experiment results on the TAC 20091 dataset demonstrate the effectiveness of our proposed framework. The proposed method achieves 18.5% improvement in terms of accuracy over the classification models for those entities which have corresponding entries in the Knowledge Base. The overall performance of the system is also better than that of the state-of-the-art methods.en
dc.formatTexten
dc.format.extent1 digital file (P. 483-491 : ill.)en
dc.identifier.citationZheng, Z., Li, F., Huang, M., & Zhu, X. (2010). Learning to Link Entities with Knowledge Base. Proceedings of the Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the ACL, Los Angeles, USA. (p. 483-491). Association for Computational Linguistics.en
dc.identifier.urihttp://hdl.handle.net/10625/49055
dc.language.isoen
dc.subjectCROSSLINKINGen
dc.subjectENTITY LINKINGen
dc.subjectRANKINGen
dc.subjectMACHINE LEARNINGen
dc.subjectALGORITHMSen
dc.titleLearning to Link Entities with Knowledge Baseen
dc.typeConference Paperen
idrc.copyright.holderAssociation for Computational Linguistics
idrc.dspace.accessIDRC Onlyen
idrc.noaccessDue to copyright restrictions the full text of this research output is not available in the IDRC Digital Library or by request from the IDRC Library. / Compte tenu des restrictions relatives au droit d'auteur, le texte intégral de cet extrant de recherche n'est pas accessible dans la Bibliothèque numérique du CRDI, et il n'est pas possible d'en faire la demande à la Bibliothéque du CRDI.en
idrc.project.componentnumber104519006
idrc.project.number104519
idrc.project.titleInternational Research Chairs Initiative (IRCI)en
idrc.rims.adhocgroupIDRC SUPPORTEDen

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