A hybrid recognition system for check-worthy claims using heuristics and supervised learning C Zuo, A Karakas, R Banerjee CEUR workshop proceedings 2125, 2018 | 41 | 2018 |
Style Change Detection with Feed-forward Neural Networks. C Zuo, Y Zhao, R Banerjee CLEF (Working Notes) 93, 2019 | 22 | 2019 |
Querying across genres for medical claims in news C Zuo, N Acharya, R Banerjee Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 11 | 2020 |
An empirical assessment of the qualitative aspects of misinformation in health news C Zuo, Q Zhang, R Banerjee Proceedings of the Fourth Workshop on NLP for Internet Freedom: Censorship …, 2021 | 9 | 2021 |
Beyond belief: a cross-genre study on perception and validation of health information online C Zuo, K Mathur, D Kela, N Salek Faramarzi, R Banerjee International Journal of Data Science and Analytics 13 (4), 299-314, 2022 | 8 | 2022 |
To check or not to check: Syntax, semantics, and context in the language of check-worthy claims C Zuo, AI Karakas, R Banerjee Experimental IR Meets Multilinguality, Multimodality, and Interaction: 10th …, 2019 | 6 | 2019 |
Benefit and cost of cross sliding window scheduling for low latency 5G Turbo decoding D Liu, C Zuo, Z Wu 2015 IEEE/CIC International Conference on Communications in China (ICCC), 1-4, 2015 | 6 | 2015 |
Seeing should probably not be believing: the role of deceptive support in COVID-19 misinformation on twitter C Zuo, R Banerjee, FH Chaleshtori, H Shirazi, I Ray ACM Journal of Data and Information Quality 15 (1), 1-26, 2022 | 5 | 2022 |
Cross-Genre Retrieval for Information Integrity: A COVID-19 Case Study C Zuo, C Wang, R Banerjee International Conference on Advanced Data Mining and Applications, 495-509, 2023 | | 2023 |
Evidence-Based Cross-Genre Misinformation Detection C Zuo State University of New York at Stony Brook, 2021 | | 2021 |