Controlled Natural Language Generation from a Multilingual FrameNet-based Grammar

TL;DR

This paper introduces a bilingual FrameNet-based grammar library in Grammatical Framework, demonstrating automatic grammar generation from annotated corpora and its application in controlled natural language tasks in arts and tourism.

Contribution

It presents a novel methodology for automatic grammar generation from FrameNet data and showcases its practical use in multilingual controlled language applications.

Findings

Successful creation of a bilingual FrameNet-based grammar

Effective application in arts and tourism domains

Potential for extending to more languages

Abstract

This paper presents a currently bilingual but potentially multilingual FrameNet-based grammar library implemented in Grammatical Framework. The contribution of this paper is two-fold. First, it offers a methodological approach to automatically generate the grammar based on semantico-syntactic valence patterns extracted from FrameNet-annotated corpora. Second, it provides a proof of concept for two use cases illustrating how the acquired multilingual grammar can be exploited in different CNL applications in the domains of arts and tourism.