KORE: Keyphrase Overlap Relatedness for Entity Disambiguation

Hoffart, Johannes; Seufert, Stephan; Nguyen, Dat Ba; Theobald, Martin; Weikum, Gerhard

doi:10.1145/2396761.2396832

KORE: Keyphrase Overlap Relatedness for Entity Disambiguation

Hoffart, J., Seufert, S., Nguyen, D. B., Theobald, M., & Weikum, G. (2012). KORE: Keyphrase Overlap Relatedness for Entity Disambiguation. In X.-W., Chen, G., Lebanon, H., Wang, & M. J., Zaki (Eds.), CIKM'12 (pp. 545-554). New York, NY: ACM.

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アイテムのパーマリンク: https://hdl.handle.net/11858/00-001M-0000-0014-59A6-0 版のパーマリンク: https://hdl.handle.net/11858/00-001M-0000-0023-C144-9

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LaTeX : {KORE}: Keyphrase Overlap Relatedness for Entity Disambiguation

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作成者:
Hoffart, Johannes^{1, 2}, 著者
Seufert, Stephan^{1, 2}, 著者
Nguyen, Dat Ba^{1, 2}, 著者
Theobald, Martin¹, 著者
Weikum, Gerhard¹, 著者

所属:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018
2International Max Planck Research School, MPI for Informatics, Max Planck Society, ou_1116551

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要旨: Measuring the semantic relatedness between two entities is the basis for numerous tasks in IR, NLP, and Web-based knowledge extraction. This paper focuses on disambiguating names in a Web or text document by jointly mapping all names onto semantically related entities registered in a knowledge base. To this end, we have developed a novel notion of semantic relatedness between two entities represented as sets of weighted (multi-word) keyphrases, with consideration of partially overlapping phrases. This measure improves the quality of prior link-based models, and also eliminates the need for (usually Wikipedia-centric) explicit interlinkage between entities. Thus, our method is more versatile and can cope with long-tail and newly emerging entities that have few or no links associated with them. For efficiency, we have developed approximation techniques based on min-hash sketches and locality-sensitive hashing. Our experiments on semantic relatedness and on named entity disambiguation demonstrate the superiority of our method compared to state-of-the-art baselines.

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言語: eng - English

日付: 出版: 2012

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識別子（DOI, ISBNなど）: eDoc: 647479
DOI: 10.1145/2396761.2396832
URI: http://doi.acm.org/10.1145/2396761.2396832
その他: Local-ID: C1256DBF005F876D-3DCFB5FA0199B58EC1257ABC0043DD61-HoffartCIKM2012
BibTex参照ID: HoffartCIKM2012

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出版物名: CIKM'12

副タイトル : The Proceedings of the 21st ACM International Conference on Information and Knowledge Management

省略形 : CIKM 2012

種別: 会議論文集

著者・編者:
Chen, Xue-Wen¹, 編集者
Lebanon, Guy¹, 編集者
Wang, Haixun¹, 編集者
Zaki, Mohammed J.¹, 編集者

所属:
1 External Organizations, ou_persistent22

出版社, 出版地: New York, NY : ACM

ページ: - 巻号: - 通巻号: - 開始・終了ページ: 545 - 554 識別子（ISBN, ISSN, DOIなど）: ISBN: 978-1-4503-1156-4

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