Detecting Sarcasm is Extremely Easy ;-)
Detecting sarcasm in text is a particularly challenging problem in computational semantics, and its solution may vary across different types of text. We analyze the performance of a domain-general sarcasm detection system on datasets from two very different domains: Twitter, and Amazon product reviews. We categorize the errors that we identify with each, and make recommendations for addressing these issues in NLP systems in the future.
Code (0)
등록된 구현이 없습니다.
Tasks
Sarcasm DetectionSimilar Papers 제목 키워드 기반
ArSarcasm Shared Task: An Ensemble BERT Model for SarcasmDetection in Arabic Tweets
Detecting Sarcasm has never been easy for machines to process. In this work, we present our submission of the sub-task1 of the shared task on sarcasm and sentiment detection in Arabic organized by the 6th Workshop for Ar…
Contrastive LearningSarcasm DetectionSentenceSentence Embedding+1"Having 2 hours to write a paper is fun!": Detecting Sarcasm in Numerical Portions of Text
Sarcasm occurring due to the presence of numerical portions in text has been quoted as an error made by automatic sarcasm detection approaches in the past. We present a first study in detecting sarcasm in numbers, as in …
BIG-bench Machine LearningDeep LearningSarcasm DetectionSentenceAn LSTM-Based Deep Learning Approach for Detecting Self-Deprecating Sarcasm in Textual Data
Self-deprecating sarcasm is a special category of sarcasm, which is nowadays popular and useful for many real-life applications, such as brand endorsement, product campaign, digital marketing, and advertisement. The self…
Deep LearningMarketingSarcasm Detection``When Numbers Matter!'': Detecting Sarcasm in Numerical Portions of Text
Research in sarcasm detection spans almost a decade. However a particular form of sarcasm remains unexplored: sarcasm expressed through numbers, which we estimate, forms about 11{\%} of the sarcastic tweets in our datase…
Sarcasm DetectionSentence"Laughing at you or with you": The Role of Sarcasm in Shaping the Disagreement Space
Detecting arguments in online interactions is useful to understand how conflicts arise and get resolved. Users often use figurative language, such as sarcasm, either as persuasive devices or to attack the opponent by an …
ClassificationGeneral ClassificationRelationRelation Classification+1