Be Appropriate and Funny: Automatic Entity Morph Encoding

Autor: Bülent Yener, Hongzhao Huang, Heng Ji, Boliang Zhang, Xiaoman Pan, Yizhou Sun, Jiawei Han, Kevin Knight, Zhen Wen
Rok vydání: 2014
Předmět:
Zdroj: ACL (2)
DOI: 10.3115/v1/p14-2115
Popis: 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 “¹ ? b (Instant Noodles)” to refer to “h 8 · (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 1 .
Databáze: OpenAIRE