Collective entity linking in tweets over space and time

• Main Authors: CHONG, Wen Haw, LIM, Ee-peng, COHEN, William
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Entity disambiguation; Concept linking; Entity linking; Databases and Information Systems; Social Media; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/3720; https://ink.library.smu.edu.sg/context/sis_research/article/4722/viewcontent/101007_2F978_3_319_56608_5_7__1_.pdf
• Institution: Singapore Management University

We propose collective entity linking over tweets that are close in space and time. This exploits the fact that events or geographical points of interest often result in related entities being mentioned in spatio-temporal proximity. Our approach directly applies to geocoded tweets. Where geocoded twe...