Year: 2020
Type: preprint
Abstract: We present a principled theoretical framework for dealing with union types, and show its work in practice on JSON data structures. The framework poses a union type inference as a learning problem from multiple examples. The categorical framework is generic, and easily extensible.
Source: arXiv (Cornell University)
Author: Gajda, Michał J.
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W3105301855