Towards Multimodal Sarcasm Detection (An \_Obviously\_ Perfect Paper)

ACL 2019 Santiago CastroDevamanyu HazarikaVer{\'o}nica P{\'e}rez-RosasRoger ZimmermannRada MihalceaSoujanya Poria

Sarcasm is often expressed through several verbal and non-verbal cues, e.g., a change of tone, overemphasis in a word, a drawn-out syllable, or a straight looking face. Most of the recent work in sarcasm detection has been carried out on textual data... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.