Bridge text and knowledge by learning multi-prototype entity mention embedding

Integrating text and knowledge into a unified semantic space has attracted significant research interests recently. However, the ambiguity in the common space remains a challenge, namely that the same mention phrase usually refers to various entities. In this paper, to deal with the ambiguity of ent...

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Bibliographic Details
Main Authors: CAO, Yixin, HUANG, Lifu, JI, Heng, CHEN, Xu, LI, Juanzi
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2017
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Online Access:https://ink.library.smu.edu.sg/sis_research/7468
https://ink.library.smu.edu.sg/context/sis_research/article/8471/viewcontent/P17_1149.pdf
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Institution: Singapore Management University
Language: English
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