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Panel on Humor & Artificial Intelligence - Tristan Miller · 2018-01-03 · Panel on Humor &...

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Panel on Humor & Artificial Intelligence This panel solicits abstract submissions on the implementation of humor detection and generation systems in artificial intelligence environments. Humor as a universal and ubiquitously used human ability has proven to be among the hardest to simulate in these environments. But progress is continuous and should be reported on at the most important international conference on humor. The main field contributing to humor and AI is natural language processing (computational linguistics), where currently deep learning methods are de rigueur. But these are more successful at visual processing than symbolic systems, which are the basis of humor. Simpler tasks, like template-based joke generation and rule-based or machine- learned joke detection, are seeing more recent advances. Beyond these narrower approaches, any researcher in artificial intelligence and humor from any field should feel welcome to this panel. Submission deadline: 31 March 2018 https://www.folklore.ee/rl/fo/konve/ishs2018/ Call for papers Conveners Kiki Hempelmann Texas A&M University-Commerce Julia M. Rayz Purdue University Max Petrenko NTENT.com Tony Veale University College Dublin Tristan Miller Technische Universität Darmstadt International Society for Humor Studies 25–29 June 2018 Laptop photo credit: Aaron Patterson (CC BY 2.0)
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Panel on Humor &Artificial Intelligence

This panel solicits abstract submissions on the implementation of humor detection and generation systems in artificial intelligence environments.

Humor as a universal and ubiquitously used human ability has proven to be among the hardest to simulate in these environments. But progress is continuous and should bereported on at the most important international conference on humor. The main field contributing to humor and AI is natural language processing (computational linguistics), where currently deep learning methods are de rigueur. But these are more successful at visual processing than symbolic systems, which are the basis of humor. Simpler tasks, like template-based joke generation and rule-based or machine-learned joke detection, are seeing more recent advances. Beyond these narrower approaches, any researcher in artificial intelligence and humor from any field should feel welcome to this panel.

Submission deadline: 31 March 2018https://www.folklore.ee/rl/fo/konve/ishs2018/

Call for papers

ConvenersKiki HempelmannTexas A&M University-Commerce

Julia M. RayzPurdue University

Max PetrenkoNTENT.com

Tony VealeUniversity College Dublin

Tristan MillerTechnische Universität Darmstadt

International Society for Humor Studies

25–29 June 2018Laptop photo credit: Aaron Patterson (CC BY 2.0)

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