Psycho-linguistic Experiment on Universal Semantic Components of Verbal Humor: System Description and Annotation
Mikhalkova, Elena, Ganzherli, Nadezhda, Murzina, Julia
–arXiv.org Artificial Intelligence
Objective criteria for universal semantic components that distinguish a humorous utterance from a non-humorous one are presently under debate. In this article, we give an in-depth observation of our system of self-paced reading for annotation of humor, that collects readers' annotations while they open a text word by word. The system registers keys that readers press to open the next word, choose a class (humorous versus non-humorous texts), change their choice. We also touch upon our psycho-linguistic experiment conducted with the system and the data collected during it.
arXiv.org Artificial Intelligence
Jul-10-2024
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