OLGA : An Ontology and LSTM-based approach for generating Arithmetic Word Problems (AWPs) of transfer type. (arXiv:2211.12164v1 [cs.CL])

Machine generation of Arithmetic Word Problems (AWPs) is challenging as they
express quantities and mathematical relationships and need to be consistent.
ML-solvers require a large annotated training set of consistent problems with
language variations. Exploiting domain-knowledge is needed for consistency
checking whereas LSTM-based approaches are good for producing text with
language variations. Combining these we propose a system, OLGA, to generate
consistent word problems of TC (Transfer-Case) type, involving object transfers
among agents. Though we provide a dataset of consistent …

arxiv lstm ontology transfer type