Sept. 26, 2022, 1:15 a.m. | Kostiantyn Kucher, Nicole Sultanum, Angel Daza, Vasiliki Simaki, Maria Skeppstedt, Barbara Plank, Jean-Daniel Fekete, Narges Mahyar

cs.CL updates on arXiv.org arxiv.org

Appropriate evaluation and experimental design are fundamental for empirical
sciences, particularly in data-driven fields. Due to the successes in
computational modeling of languages, for instance, research outcomes are having
an increasingly immediate impact on end users. As the gap in adoption by end
users decreases, the need increases to ensure that tools and models developed
by the research communities and practitioners are reliable, trustworthy, and
supportive of the users in their goals. In this position paper, we focus on the …

analytics arxiv design evaluation experimental paper perspective text text analytics

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US