An End-to-End Pipeline from Law Text to Logical Formulas
Paper in proceeding, 2022

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.

Grammatical Framework

legal text parsing

legal formalisms

Author

Aarne Ranta

University of Gothenburg

Inari Listenmaa

Singapore Management University

Jerrold Soh

Singapore Management University

Meng Weng Wong

Singapore Management University

Frontiers in Artificial Intelligence and Applications

0922-6389 (ISSN) 18798314 (eISSN)

Vol. 362 237-242
9781643683645 (ISBN)

35th International Conference on Legal Knowledge and Information Systems, JURIX 2022
Saarbrucken, Germany,

Subject Categories

Law

Economics and Business

Signal Processing

Computer Systems

DOI

10.3233/FAIA220473

More information

Latest update

10/25/2023