Results 231 to 240 of about 2,787,876 (276)
Gesturing While Writing: An Alternate Perspective on Mimetic Prosody
Critical Quarterly, EarlyView.
Paul Magee
wiley +1 more source
Jorge Luis Borges' Medieval Aesthetics of Failure
Critical Quarterly, EarlyView.
Irina Dumitrescu
wiley +1 more source
Sarcasm Suite: A Browser-Based Engine for Sarcasm Detection and Generation
Proceedings of the AAAI Conference on Artificial Intelligence, 2017 Sarcasm Suite is a browser-based engine that deploys five of our past papers in sarcasm detection and generation. The sarcasm detection modules use four kinds of incongruity: sentiment incongruity, semantic incongruity, historical context incongruity and conversational context incongruity. The sarcasm generation module is a chatbot that
Aditya Joshi 0001 +3 more
openaire +3 more sources
International Journal of Semantic Computing, 2018 In this paper, we want to review one of the challenging problems for the opinion mining task, which is sarcasm detection. To be able to do that, many researchers tried to explore such properties in sarcasm like theories of sarcasm, syntactical properties, psycholinguistic of sarcasm, lexical feature, semantic properties, etc.
Ibisoglu, Taha Yasin +2 more
openaire +3 more sources
Arabic sarcasm detection [PDF]
, 2023 Sarcasm is a form of verbal irony that is often used to express ridicule or contempt. When using sarcasm, a speaker expresses their opinion in an indirect way, where the literal meaning is different from the intended one. Additionally, sarcasm is a sociolinguistic tool that people use to express themselves and it reflects their cultural and social ...
Abu Farha, Ibrahim
openaire +4 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Sarcasm Detection with Commonsense Knowledge
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2021Sarcasm is commonly used in today's social media platforms such as Twitter and Reddit. Sarcasm detection is necessary for analysing people's real sentiments as people usually use sarcasm to express a flipped emotion against the literal meaning. However, the current works neglect the fact that commonsense knowledge is crucial for sarcasm recognition. In
Jiangnan Li +4 more
openaire +2 more sources
Affective Representations for Sarcasm Detection
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018Sarcasm detection from text has gained increasing attention. While one thread of research has emphasized the importance of affective content in sarcasm detection, another avenue of research has explored the effectiveness of word representations. In this paper, we introduce a novel model for automated sarcasm detection in text, called Affective Word ...
Ameeta Agrawal, Aijun An
openaire +2 more sources
Sarcasm Detection in Newspaper Headlines
2020 IEEE 15th International Conference on Industrial and Information Systems (ICIIS), 2020Sarcasm is an important part of communication, and detecting sarcasm is difficult for humans, let alone computers. Newspapers often seem to employ sarcasm in their headlines to grab the readers’ attention. However, more often than not, the readers find it difficult to detect the irony in the headlines, thus getting a wrong idea about that particular ...
Parnavi Shrikhande +2 more
openaire +1 more source