Hi! My name is Seoyeon Park (Seo Yeon Park), and I'm a Ph.D. student in Computer Science at the University of Illinois at Chicago (UIC) under the supervision of Prof. Cornelia Caragea. My main research interests span artificial intelligence, information retrieval, and natural language processing.
Publication
- • Seo Yeon Park, Cornelia Caragea : Multi-Task Knowledge Distillation with Embedding Constraints for Scholarly Keyphrase Boundary Classification. EMNLP 2023 (Main) link
- • Jishnu Ray Chowdhury, Seoyeon Park*, Tuhin Kundu*, Cornelia Caragea : KPDrop: Improving Absent Keyphrase Generation. EMNLP 2022 (Findings). link
- • Seo Yeon Park, and Cornelia Caragea : A Data Cartography based MixUp for Pre-trained Language Models. NAACL 2022 (Main). link
- • Seo Yeon Park, and Cornelia Caragea : On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency. ACL 2022 (Main). link
- • Seoyeon Park, and Cornelia Caragea : Scientific Keyphrase Identification and Classification by Pre-Trained Language Models Intermediate Task Transfer Learning. COLING 2020 link
- • Yingjie Li, Seoyeon Park, Cornelia Caragea, Doina Caragea, and Andrea Tapia : Sympathy Detection in Disaster Twitter Data. ISCRAM 2019. link
Education
- • University of Illinois at Chicago (UIC), Chicago, IL, USA (2018~)
- Doctoral of Philosophy in Computer Science
- • University of Southern California (USC), Los Angeles, CA, USA (2016~2018)
- Master of Science in Computer Science
- • Ewha Womans University, Seoul, Republic of Korea (2012~2016)
- Bachelor of Science in Computer Science & Engineering (3.93/4.3, Magna Cum Laude)
Work Experience
- •Applied Scientist Intern at Amazon Alexa NLU, Seattle, WA, USA (Summer 2021)
- Pattern Paraphrase Generation: Building pattern paraphrase generation models focusing on diversity using reinforcement learning and VAE
- •Software Developer Intern at Cisco Systems Inc., San Jose, CA, USA (Summer 2018)
- iCam Project: Building Network Traffic and Resources prediction models using Machine Learning Techniques