Controlled Natural Language Generation from a Multilingual FrameNet-based Grammar
This work addresses the need for multilingual CNL generation tools, though it is incremental as it builds on existing FrameNet and Grammatical Framework methods.
The paper tackles the problem of generating controlled natural language (CNL) from a multilingual FrameNet-based grammar by automatically extracting semantico-syntactic patterns and demonstrates its application in arts and tourism domains as a proof of concept.
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.