April 9, 2024, 4:51 a.m. | Adam Wiemerslage, Shafiuddin Rehan Ahmed

cs.CL updates on arXiv.org arxiv.org

arXiv:2003.11517v2 Announce Type: replace
Abstract: In this paper, we propose a pipeline to convert grade school level algebraic word problem into program of a formal languageA-IMP. Using natural language processing tools, we break the problem into sentence fragments which can then be reduced to functions. The functions are categorized by the head verb of the sentence and its structure, as defined by (Hosseini et al., 2014). We define the function signature and extract its arguments from the text using dependency …

abstract arxiv cs.cl cs.pl functions language language processing natural natural language natural language processing natural language processing tools paper pipeline processing school tools type word

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Alternance DATA/AI Engineer (H/F)

@ SQLI | Le Grand-Quevilly, France