Bayesian inference networks and spreading activation in hypertext systems
Information Processing and Management: an International Journal
Current Directions in Computational Humour
Artificial Intelligence Review
Humor modeling in the interface
CHI '03 Extended Abstracts on Human Factors in Computing Systems
ConceptNet — A Practical Commonsense Reasoning Tool-Kit
BT Technology Journal
IEEE Intelligent Systems
Word Sense Disambiguation Using WordNet Domains
ICETET '08 Proceedings of the 2008 First International Conference on Emerging Trends in Engineering and Technology
Joke retrieval: recognizing the same joke told differently
Proceedings of the 17th ACM conference on Information and knowledge management
Computational Detection of Humor: A Dream or a Nightmare? The Ontological Semantics Approach
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
SenticSpace: visualizing opinions and sentiments in a multi-dimensional vector space
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part IV
Edge dependent pathway scoring for calculating semantic similarity in ConceptNet
IWCS '11 Proceedings of the Ninth International Conference on Computational Semantics
A fabula model for emergent narrative
TIDSE'06 Proceedings of the Third international conference on Technologies for Interactive Digital Storytelling and Entertainment
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This work presents a first step to a general implementation of the Semantic-Script Theory of Humor (SSTH). Of the scarce amount of research in computational humor, no research had focused on humor generation beyond simple puns and punning riddles. We propose an algorithm for mining simple humorous scripts from a semantic network (Concept-Net) by specifically searching for dual scripts that jointly maximize overlap and incongruity metrics in line with Raskin's Semantic-Script Theory of Humor. Initial results show that a more relaxed constraint of this form is capable of generating humor of deeper semantic content than wordplay riddles. We evaluate the said metrics through a user-assessed quality of the generated two-liners.