I am a fourth-year Ph.D. student at the University of Illinois Chicago and I am advised by Professor Cornelia Caragea. My research interests lie in emotion detection and sentiment analysis. Some of my recent work focuses on developing new semi-supervised learning methods for emotion detection. I was an intern at Google with the Cloud AI and Counter Abuse Research teams. I did my undergrad in Romania at the Politehnica University of Bucharest.
Ph.D. in Natural Language Processing
University of Illinois Chicago, 2019 - Present
BSc
Politehnica University of Bucharest, 2015 - 2019
Tiberiu Sosea and Cornelia Caragea: eMLM: A New Pre-training Objective for Emotion Related Tasks in ACL 2021
Tiberiu Sosea and Cornelia Caragea: CancerEmo: A Dataset for Fine-Grained Emotion Detection in EMNLP 2020
Tiberiu Sosea and Cornelia Caragea: Leveraging Training Dynamics and Self-Training for Text Classification in EMNLP Findings 2022
Hongli Zhan^, Tiberiu Sosea^, Cornelia Caragea, Junyi Jessy Li and Cornelia Caragea: Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Posts in EMNLP 2022
Tiberiu Sosea, Chau Pham, Alexander Tekle, Cornelia Caragea and Junyi Jessy Li: Emotion Analysis and Detection during COVID-19 in LREC 2022
Tiberiu Sosea and Cornelia Caragea: Ensynet: A Dataset for Encouragement and Sympathy Detection in LREC 2022
Iustin Sirbu, Tiberiu Sosea, Cornelia Caragea, Doina Caragea, Traian Rebedea Multimodal Semi-supervised Learning for Disaster Tweet Classification in COLING 2022
George Maratos, Tiberiu Sosea, Cornelia Caragea Label Smoothing for Emotion Detection in AAAI 2023 Student Poster Program
Tiberiu Sosea, Iustin Sirbu, Cornelia Caragea, Doina Caragea and Traian Rebedea: Using the Image-Text Relationship to Improve Multimodal Disaster Tweet Classification in ISCRAM 2021
Yingjie Li, Tiberiu Sosea, Aditya Sawant, Ajith Jayaraman Nair, Diana Inkpen and Cornelia Caragea: P-Stance: A Large Dataset for Stance Detection in Political Domain in ACL Findings 2021
^ –> Equal Contribution