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- extended-abstractDecember 2023
Multimodal Irony for Virtual Characters
IVA '23: Proceedings of the 23rd ACM International Conference on Intelligent Virtual AgentsArticle No.: 32, Pages 1–4https://doi.org/10.1145/3570945.3607299Humor is an important communicative skill in human interactions. Intelligent virtual agents can leverage it to increase their believability and overall interaction experience. In this paper, we focus on transferring and implementing existing multimodal ...
- research-articleMay 2019
Emojis in Sentence Processing: An Electrophysiological Approach
WWW '19: Companion Proceedings of The 2019 World Wide Web ConferencePages 478–479https://doi.org/10.1145/3308560.3316544This paper discusses two multi-experiment studies using the ERP methodology to investigate neural correlates of processing linguistic emojis. The first study examined the use of wink emojis used to mark irony and found the same ERP response complex that ...
- research-articleMay 2019
Irony Man: Augmenting a Social Robot with the Ability to Use Irony in Multimodal Communication with Humans
Interpersonal communication is often full of irony and irony related humor, which can shape the quality of a conversation and how conversation partners perceive each other. If social robots were able to integrate irony in their communication style, ...
- posterFebruary 2017
Open Secrets and Wrong Rights: Automatic Satire Detection in English Text
CSCW '17 Companion: Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social ComputingPages 291–294https://doi.org/10.1145/3022198.3026344Satire is an element of figurative language which often conveys feelings contrary to what is literally stated. It refers to a trenchant wit, irony, or sarcasm used to expose discredit vice or folly. The presence of a satirical utterance in text can ...
- research-articleMarch 2013
Developing Corpora for Sentiment Analysis: The Case of Irony and Senti-TUT
IEEE Intelligent Systems (IEEECS-INTELLI-NEW), Volume 28, Issue 2Pages 55–63https://doi.org/10.1109/MIS.2013.28Senti-TUT—an ongoing Italian project that investigates sentiment and irony in online political discussions—illustrates how to develop corpora for mining and analyzing opinion and sentiment in social media.