Fluid Construction Grammar: State of the Art and Future Outlook

Katrien Beuls, Paul Van Eecke

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Abstract

Fluid Construction Grammar (FCG) is a computational framework that provides a formalism for representing construction grammars and a processing engine that supports construction-based language comprehension and production. FCG is conceived as a computational operationalisation of the basic tenets of construction grammar. It thereby aims to establish more solid foundations for constructionist theories of language, while expanding their application potential in the fields of artificial intelligence and natural language understanding. This paper aims to provide a brief introduction to the FCG research programme, reflecting on what has been achieved so far and identifying key challenges for the future.
Original languageEnglish
Title of host publicationCxGsNLP 2023 - 1st International Workshop on Construction Grammars and NLP (CxGs+NLP, GURT/SyntaxFest 2023), Proceedings of the Conference
Pages41-50
Number of pages10
ISBN (Electronic)9781959429357
Publication statusPublished - 2023
EventGURT 2014 (Georgetown University Round Table on Languages and Linguistics) - Washtington, United States
Duration: 14 Mar 201416 Mar 2014

Publication series

NameCxGsNLP 2023 - 1st International Workshop on Construction Grammars and NLP (CxGs+NLP, GURT/SyntaxFest 2023), Proceedings of the Conference

Conference

ConferenceGURT 2014 (Georgetown University Round Table on Languages and Linguistics)
Country/TerritoryUnited States
CityWashtington
Period14/03/1416/03/14

Funding

We would like to express our gratitude to the multi-talented team of researchers that have contributed to the FCG research programme in the past, and to the current team who ensures that the future of computational construction grammar looks brighter than ever: Luc Steels, Remi van Trijp, Jens Nevens, Tom Willaert, Lara Verheyen, Jonas Doumen, Jérôme Botoko Ekila, Veronica Schmalz, Liesbet De Vos, Alexane Jouglar and Jeroen Van Soest. The research reported on in this paper was financed by the Research Foundation Flanders (FWO) through a postdoctoral grant awarded to Paul Van Eecke (75929) and the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 951846 (MUHAI - https://www.muhai.org).

FundersFunder number
Horizon 2020 Framework Programme951846
Fonds Wetenschappelijk Onderzoek75929

    Keywords

    • fluid construction grammar
    • computational construction grammar
    • language understanding
    • language technologies

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