Search
 
loader loading subjects...
cover
An End-to-End Pipeline from Law Text to Logical Formulas
Aarne Ranta, Inari Listenmaa, Jerrold Soh, Meng Weng Wong
237 - 242
10.3233/FAIA220473
Research Article
Frontiers in Artificial Intelligence and Applications
Volume 362: Legal Knowledge and Information Systems
Abstract

We propose a pipeline for converting natural English law texts into logical formulas via a series of structural representations. Text texts are first parsed using a formal grammar derived from light-weight annotations. An intermediate representation called assembly logic is then used for logical interpretation and supports translations to different back-end logics and visualisations. The approach, while rule-based and explainable, is also robust: it can deliver useful results from day one, but allows subsequent refinements and variations.

Download
Creative Commons License