Be appropriate and funny: Automatic entity morph encoding

Boliang Zhang, Hongzhao Huang, Xiaoman Pan, Heng Ji, Kevin Knight, Zhen Wen, Yizhou Sun, Jiawei Han, Bulent Yener

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Internet users are keen on creating different kinds of morphs to avoid censorship, express strong sentiment or humor. For example, in Chinese social media, users often use the entity morph " (Instant Noodles)" to refer to " (Zhou Yongkang)" because it shares one character "(Kang)" with the well-known brand of instant noodles "(Master Kang)". We developed a wide variety of novel approaches to automatically encode proper and interesting morphs, which can effectively pass decoding tests

Original languageEnglish (US)
Title of host publicationLong Papers
PublisherAssociation for Computational Linguistics (ACL)
Pages706-711
Number of pages6
ISBN (Print)9781937284732
StatePublished - Jan 1 2014
Event52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Baltimore, MD, United States
Duration: Jun 22 2014Jun 27 2014

Publication series

Name52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference
Volume2

Other

Other52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014
CountryUnited States
CityBaltimore, MD
Period6/22/146/27/14

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language

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