no code implementations • EMNLP 2020 • Tiberiu Sosea, Cornelia Caragea
Emotions are an important element of human nature, often affecting the overall wellbeing of a person.
1 code implementation • LREC 2022 • Tiberiu Sosea, Cornelia Caragea
More and more people turn to Online Health Communities to seek social support during their illnesses.
1 code implementation • COLING 2022 • Iustin Sirbu, Tiberiu Sosea, Cornelia Caragea, Doina Caragea, Traian Rebedea
In this paper, we investigate how to leverage the copious amounts of unlabeled data generated on social media by disaster eyewitnesses and affected individuals during disaster events.
1 code implementation • CVPR 2023 • Tiberiu Sosea, Cornelia Caragea
We introduce MarginMatch, a new SSL approach combining consistency regularization and pseudo-labeling, with its main novelty arising from the use of unlabeled data training dynamics to measure pseudo-label quality.
no code implementations • 16 Aug 2023 • Tiberiu Sosea, Junyi Jessy Li, Cornelia Caragea
This contempt is in some cases expressed as sarcasm or irony.
1 code implementation • 2 Jun 2023 • Tiberiu Sosea, Hongli Zhan, Junyi Jessy Li, Cornelia Caragea
Second, we develop new unsupervised learning models that can jointly detect emotions and summarize their triggers.
1 code implementation • 22 Oct 2022 • Hongli Zhan, Tiberiu Sosea, Cornelia Caragea, Junyi Jessy Li
This paper takes a novel angle, namely, emotion detection and trigger summarization, aiming to both detect perceived emotions in text, and summarize events and their appraisals that trigger each emotion.
1 code implementation • ACL 2021 • Tiberiu Sosea, Cornelia Caragea
BERT has been shown to be extremely effective on a wide variety of natural language processing tasks, including sentiment analysis and emotion detection.
no code implementations • LREC 2022 • Tiberiu Sosea, Chau Pham, Alexander Tekle, Cornelia Caragea, Junyi Jessy Li
Crises such as natural disasters, global pandemics, and social unrest continuously threaten our world and emotionally affect millions of people worldwide in distinct ways.