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

cs.LG 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

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

IT Data Engineer

@ Procter & Gamble | BUCHAREST OFFICE

Data Engineer (w/m/d)

@ IONOS | Deutschland - Remote

Staff Data Science Engineer, SMAI

@ Micron Technology | Hyderabad - Phoenix Aquila, India

Academically & Intellectually Gifted Teacher (AIG - Elementary)

@ Wake County Public School System | Cary, NC, United States