Shaden Shaar is currently a computer science PhD student at Cornell University with Prof. Claire Cardie. She is currently working on long-document summarization, and event extraction. She was the recipient of the Cornell Fellowship in 2021. Previously she worked with Dr. Preslav Nakov on Automated fact-checking and propaganda detection in news.
Recent Publications
(2022).
Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document.
Findings of the Association for Computational Linguistics: EMNLP 2022.
(2022).
A Survey on Multimodal Disinformation Detection.
Proceedings of the 29th International Conference on Computational Linguistics.
(2022).
The Role of Context in Detecting Previously Fact-Checked Claims.
Findings of the Association for Computational Linguistics: NAACL 2022.
(2022).
Cross-lingual Emotion Detection.
Proceedings of the Thirteenth Language Resources and Evaluation Conference.
(2021).
Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society.
Findings of the Association for Computational Linguistics: EMNLP 2021.
Experience
AI/ML Research Intern
Apple
Generated conditioned multi-turn conversational dataset for Siri
Research Assistant
Qatar Computing Research Institute
Worked on multiple projects:
- Automated Fact-checking
- Propaganda Detections
- Emotion Detection in Limited Resource Language