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Liesbet De Vos

Biographic Data

ID9437477
NAMELiesbet De Vos
GIVEN NAMESLiesbet
FAMILY NAMEDe Vos
SIGNATUREDE VOS L
AFFILIATIONSUniversity of Namur
ORCID0009-0003-5081-845X
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Construction grammar and procedural semantics for human-interpretable grounded language processing

    Liesbet De Vos, Jens Nevens et al.•ARTICLE•Linguistics Vanguard•2024

    Grounded language processing is a crucial component in many artificial intelligence systems, as it allows agents to communicate about their physical surroundings. State-of-the-art approaches typically employ deep learning techniques that perform end-to-end mappings between natural language expressions and representations grounded in the environment. Although these techniques achieve high levels of accuracy, they are often criticized for their lac…

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  • Construction grammar and procedural semantics for human-interpretable grounded language processing

    Liesbet De Vos, Jens Nevens et al.•ARTICLE•Linguistics Vanguard•2024

    Grounded language processing is a crucial component in many artificial intelligence systems, as it allows agents to communicate about their physical surroundings. State-of-the-art approaches typically employ deep learning techniques that perform end-to-end mappings between natural language expressions and representations grounded in the environment. Although these techniques achieve high levels of accuracy, they are often criticized for their lac…

Artificial Intelligence (1 work) · Computer Science (1 work) · Domain Adaptation and Few-Shot Learning (1 work) · Grammar (1 work) · Interpretability (1 work) · Linguistics (1 work) · Multimodal Machine Learning Applications (1 work) · Natural language (1 work) · Natural language processing (1 work) · Programming language (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae