June 1, 2022, 1:12 a.m. | Sowmya S Sundaram, Sairam Gurajada, Marco Fisichella, Deepak P, Savitha Sam Abraham

cs.CL updates on arXiv.org arxiv.org

From the latter half of the last decade, there has been a growing interest in
developing algorithms for automatically solving mathematical word problems
(MWP). It is a challenging and unique task that demands blending surface level
text pattern recognition with mathematical reasoning. In spite of extensive
research, we are still miles away from building robust representations of
elementary math word problems and effective solutions for the general task. In
this paper, we critically examine the various models that have been …

arxiv deep learning elementary learning math nlp survey

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