Web: http://arxiv.org/abs/2205.02596

May 6, 2022, 1:11 a.m. | M. Arana-Catania, Elena Kochkina, Arkaitz Zubiaga, Maria Liakata, Rob Procter, Yulan He

cs.CL updates on arXiv.org arxiv.org

We present a comprehensive work on automated veracity assessment from dataset
creation to developing novel methods based on Natural Language Inference (NLI),
focusing on misinformation related to the COVID-19 pandemic. We first describe
the construction of the novel PANACEA dataset consisting of heterogeneous
claims on COVID-19 and their respective information sources. The dataset
construction includes work on retrieval techniques and similarity measurements
to ensure a unique set of claims. We then propose novel techniques for
automated veracity assessment based on …

arxiv attention inference language natural natural language pandemic self-attention

Data Analyst, Patagonia Action Works

@ Patagonia | Remote

Data & Insights Strategy & Innovation General Manager

@ Chevron Services Company, a division of Chevron U.S.A Inc. | Houston, TX

Faculty members in Research areas such as Bayesian and Spatial Statistics; Data Privacy and Security; AI/ML; NLP; Image and Video Data Analysis

@ Ahmedabad University | Ahmedabad, India

Director, Applied Mathematics & Computational Research Division

@ Lawrence Berkeley National Lab | Berkeley, Ca

Business Data Analyst

@ MainStreet Family Care | Birmingham, AL

Assistant/Associate Professor of the Practice in Business Analytics

@ Georgetown University McDonough School of Business | Washington DC