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SUMMARY:Automatic Humour Detection - Ekaterina Shutova (University of Camb
 ridge)
DTSTART:20091116T123000Z
DTEND:20091116T133000Z
UID:TALK21547@talks.cam.ac.uk
CONTACT:Diarmuid Ó Séaghdha
DESCRIPTION:At this session of the NLIP Reading Group we'll be discussing 
 two papers on computational humour:\n\nRada Michalcea and Carlo Strapparav
 a. 2005. "Making Computers Laugh: Investigations in Automatic Humor Recogn
 ition":http://aclweb.org/anthology-new/H/H05/H05-1067.pdf. In Proceedings 
 of HLT-EMNLP-05.\n\n*Abstract:*\nHumor is one of the most interesting and 
 puzzling aspects of human behavior. Despite the attention it has received 
 in fields such as philosophy\, linguistics\, and psychology\, there have b
 een only few attempts to create computational models for humor recognition
  or generation. In this paper\, we bring empirical evidence that computati
 onal approaches can be successfully applied to the task of humor recogniti
 on. Through experiments performed on very large data sets\, we show that a
 utomatic classification techniques can be effectively used to distinguish 
 between humorous and non-humorous texts\, with significant improvements ob
 served over apriori known baselines.\n\nClint Burfoot and Timothy Baldwin.
  "Automatic Satire Detection: Are You Having a Laugh?":http://www.aclweb.o
 rg/anthology/P/P09/P09-2041.pdf. In Proceedings of ACL-09 (short paper).\n
 \n*Abstract:*\nWe introduce the novel task of determining whether a newswi
 re article is "true" or satirical. We experiment with SVMs\, feature scali
 ng\, and a number of lexical and semantic feature types\, and achieve prom
 ising results over the task.\n\nIf you only have time to read one of these
  papers\, Mihalcea and Strapparava (2005) is suggested.
LOCATION:GS15\, Computer Laboratory
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