Abstract
The analysis of humor using computational tools has gained popularity in the past few years, and a lot of resources have been built for this purpose. However, most of these resources focus on standalone jokes or on occasional humorous sentences during presentations. In this paper I present a new dataset, SCRIPTS, built using stand-up comedy shows transcripts: the humor that this dataset collects is inserted in a larger narrative, composed of daily events made humorous by the ability of the comedian. This different perspective on the humor problem can allow us to think and study humor in a different way and possibly to open the path to new lines of research.- Anthology ID:
- 2022.lrec-1.558
- Volume:
- Proceedings of the Thirteenth Language Resources and Evaluation Conference
- Month:
- June
- Year:
- 2022
- Address:
- Marseille, France
- Editors:
- Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 5206–5211
- Language:
- URL:
- https://aclanthology.org/2022.lrec-1.558
- DOI:
- Cite (ACL):
- Beatrice Turano and Carlo Strapparava. 2022. Making People Laugh like a Pro: Analysing Humor Through Stand-Up Comedy. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 5206–5211, Marseille, France. European Language Resources Association.
- Cite (Informal):
- Making People Laugh like a Pro: Analysing Humor Through Stand-Up Comedy (Turano & Strapparava, LREC 2022)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-1/2022.lrec-1.558.pdf