@inproceedings{12789134047b4d8da85e6d017d55207b,
title = "Be appropriate and funny: Automatic entity morph encoding",
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",
author = "Boliang Zhang and Hongzhao Huang and Xiaoman Pan and Heng Ji and Kevin Knight and Zhen Wen and Yizhou Sun and Jiawei Han and Bulent Yener",
year = "2014",
doi = "10.3115/v1/p14-2115",
language = "English (US)",
isbn = "9781937284732",
series = "52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference",
publisher = "Association for Computational Linguistics (ACL)",
pages = "706--711",
booktitle = "Long Papers",
note = "52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 ; Conference date: 22-06-2014 Through 27-06-2014",
}