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This paper documents and reviews the state of the art concerning computational models of construction grammar learning. It brings together prior work on the computational learning of form-meaning pairings, which has so far been studied in several dis
Externí odkaz:
http://arxiv.org/abs/2407.07606
Autor:
Beuls, Katrien, Van Eecke, Paul
In this chapter, we argue that it is highly beneficial for the contemporary construction grammarian to have a thorough understanding of the strong relationship between the research fields of construction grammar and artificial intelligence. We start
Externí odkaz:
http://arxiv.org/abs/2309.00135
Publikováno v:
Belgian/Netherlands Artificial Intelligence Conference (BNAIC) 2018 Preproceedings (pp. 253-264)
Human languages use a wide range of grammatical categories to constrain which words or phrases can fill certain slots in grammatical patterns and to express additional meanings, such as tense or aspect, through morpho-syntactic means. These grammatic
Externí odkaz:
http://arxiv.org/abs/2204.10201
The question of how an effective and efficient communication system can emerge in a population of agents that need to solve a particular task attracts more and more attention from researchers in many fields, including artificial intelligence, linguis
Externí odkaz:
http://arxiv.org/abs/2004.09218
Re-conceptualising the Language Game Paradigm in the Framework of Multi-Agent Reinforcement Learning
Autor:
Van Eecke, Paul, Beuls, Katrien
In this paper, we formulate the challenge of re-conceptualising the language game experimental paradigm in the framework of multi-agent reinforcement learning (MARL). If successful, future language game experiments will benefit from the rapid and pro
Externí odkaz:
http://arxiv.org/abs/2004.04722
News website comment sections are spaces where potentially conflicting opinions and beliefs are voiced. Addressing questions of how to study such cultural and societal conflicts through technological means, the present article critically examines pos
Externí odkaz:
http://arxiv.org/abs/1912.01252
Akademický článek
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Akademický článek
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Publikováno v:
Verheyen, L, Botoko Ekila, J, Nevens, J, Van Eecke, P & Beuls, K 2023, Neuro-Symbolic Procedural Semantics for Reasoning-Intensive Visual Dialogue Tasks . in Proceedings of the 26th European Conference on Artificial Intelligence : ECAI 2023 . Krakow .
This paper introduces a novel approach to visual dialogue that is based on neuro-symbolic procedural semantics. The approach builds further on earlier work on procedural semantics for visual question answering and expands it on the one hand with neur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4291::6fc4c279a0f2a426255b2464ead15d63
https://pure.unamur.be/ws/files/84074177/verheyen2023neuro.pdf
https://pure.unamur.be/ws/files/84074177/verheyen2023neuro.pdf
Autor:
Beuls, Katrien, Van Eecke, Paul
Publikováno v:
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) . pp. 41-50, GURT 2014 (Georgetown University Round Table on Languages and Linguistics), Washtington, United States, 14/03/14 . < https://aclanthology.org/2023.cxgsnlp-1.6/ >
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 compu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4291::3f8269c1afbed1357f0cc3442a6378df
https://pure.unamur.be/ws/files/83802038/2023.cxgsnlp_1.6.pdf
https://pure.unamur.be/ws/files/83802038/2023.cxgsnlp_1.6.pdf