معرفی
Claire Cardie is a Professor in the Departments of Computer Science and Information Science at Cornell University, and the inaugural Associate Dean for Education in the Ann S. Bowers College of Computing and Information Science. She holds the John C. Ford Professorship of Engineering. Her research focuses on natural language processing (NLP), including information extraction, opinion analysis, and machine learning methods. Cardie has pioneered Cornell’s Information Science programs and served as Department Chair. She is a Fellow of ACL (2015), ACM (2019), and AAAS (2021), reflecting her seminal contributions to NLP. Her teaching includes courses like CS4740/5740 (Intro to NLP) and CS6740/INFO6300 (Advanced Language Technologies). She has led major conference roles (e.g., ACL 2018 General Chair) and contributed to datasets like Fashionpedia and GRIT.
- Education: B.S. in Computer Science (Yale), M.S. and Ph.D. in Computer Science (University of Massachusetts)
Research Interests: Cardie’s group develops NLP systems and machine learning techniques for large-scale text analysis, balancing theoretical advances with real-world applications. Current work emphasizes reasoning, robustness in retrieval-augmented generation, and ethical AI evaluation.
Publications: Over 100+ articles since 2016, with recent focus on multi-hop reasoning, adversarial attacks on NLP systems, and AI ethics. Notable contributions include the FAIRY dataset for commonsense reasoning and GRIT for event extraction.
- Awards: AAAI Fellow (2021), ACL Fellow (2015), ACM Fellow (2019)
Advising & Service: Mentor for numerous students and researchers. Currently oversees educational initiatives as Associate Dean, emphasizing interdisciplinary computing education and student success.
