Fluid Construction Grammar: State of the Art and Future Outlook

Katrien Beuls; Paul Van Eecke

Fluid Construction Grammar: State of the Art and Future Outlook

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

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 language	English
Title of host publication	Proceedings of the First International Workshop on Construction Grammars and NLP (CxGs+NLP, GURT/SyntaxFest 2023)
Publisher	Association for Computational Linguistics
Pages	41-50
ISBN (Electronic)	978-1-959429-35-7
Publication status	Published - 2023
Event	Georgetown University Round Table: GURT/SyntaxFest 2023 - Washington, United States Duration: 9 Mar 2023 → 12 Mar 2023 https://gurt.georgetown.edu/gurt-2023/

Workshop

Workshop	Georgetown University Round Table
Country	United States
City	Washington
Period	9/03/23 → 12/03/23
Internet address	https://gurt.georgetown.edu/gurt-2023/

Keywords

Fluid Construction Grammar

Access to Document

https://aclanthology.org/2023.cxgsnlp-1.6.pdf

OZR4048: Towards a mechanistic understanding of the emergence, evolution, acquisition and processing of human-like languages in populations of autonomous agents
Van Eecke, P.
1/02/23 → 31/01/27
Project: Fundamental
FWOTM1034: Learning Construction Grammars from Semantically Annotated Corpora or Situated Communicative Interactions
Van Eecke, P., Nowe, A. & Beuls, K.
1/10/20 → 30/09/23
Project: Fundamental
EU629: Meaning and Understanding in Human-centric AI
Beuls, K., Nowe, A. & Van Eecke, P.
European Commission
1/10/20 → 30/09/24
Project: Fundamental

Cite this

@inproceedings{94d922ffb38741dfaec12f328afdbdc7,

title = "Fluid Construction Grammar: State of the Art and Future Outlook",

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.",

keywords = "Fluid Construction Grammar",

author = "Katrien Beuls and {Van Eecke}, Paul",

year = "2023",

language = "English",

pages = "41--50",

booktitle = "Proceedings of the First International Workshop on Construction Grammars and NLP (CxGs+NLP, GURT/SyntaxFest 2023)",

publisher = "Association for Computational Linguistics",

note = "Georgetown University Round Table : GURT/SyntaxFest 2023 ; Conference date: 09-03-2023 Through 12-03-2023",

url = "https://gurt.georgetown.edu/gurt-2023/",

}

Beuls, K & Van Eecke, P 2023, Fluid Construction Grammar: State of the Art and Future Outlook. in Proceedings of the First International Workshop on Construction Grammars and NLP (CxGs+NLP, GURT/SyntaxFest 2023). Association for Computational Linguistics, pp. 41-50, Georgetown University Round Table, Washington, United States, 9/03/23. <https://aclanthology.org/2023.cxgsnlp-1.6.pdf>

TY - GEN

T1 - Fluid Construction Grammar: State of the Art and Future Outlook

AU - Beuls, Katrien

AU - Van Eecke, Paul

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - Fluid Construction Grammar

M3 - Conference paper

SP - 41

EP - 50

BT - Proceedings of the First International Workshop on Construction Grammars and NLP (CxGs+NLP, GURT/SyntaxFest 2023)

PB - Association for Computational Linguistics

T2 - Georgetown University Round Table

Y2 - 9 March 2023 through 12 March 2023

ER -

Fluid Construction Grammar: State of the Art and Future Outlook

Abstract

Workshop

Keywords

Access to Document

Projects

OZR4048: Towards a mechanistic understanding of the emergence, evolution, acquisition and processing of human-like languages in populations of autonomous agents

FWOTM1034: Learning Construction Grammars from Semantically Annotated Corpora or Situated Communicative Interactions

EU629: Meaning and Understanding in Human-centric AI

Cite this