Name
Title | ||
|---|---|---|
Should a Chatbot be Sarcastic? Understanding User Preferences Towards Sarcasm Generation |
Abstract | ||
|---|---|---|
Previous sarcasm generation research has focused on how to generate text that people perceive as sarcastic to create more human-like interactions. In this paper, we argue that we should first turn our attention to the question of when sarcasm should be generated, finding that humans consider sarcastic responses inappropriate to many input utterances. Next, we use a theory-driven framework for generating sarcastic responses, which allows us to control the linguistic devices included during generation. For each device, we investigate how much humans associate it with sarcasm, finding that pragmatic insincerity and emotional markers are devices crucial for making sarcasm recognisable. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.18653/v1/2022.acl-long.530 | PROCEEDINGS OF THE 60TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2022), VOL 1: (LONG PAPERS) |
DocType | Volume | Citations |
Conference | Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Silviu Vlad Oprea | 1 | 0 | 0.34 |
| Steven R. Wilson | 2 | 12 | 7.21 |
| Walid Magdy | 3 | 520 | 40.47 |