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Kees van Deemter

As seen in: arXiv, OUPblog
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Articles by Kees van Deemter

[2403.04376] Computational Modelling of Plurality and Definiteness in Chinese Noun Phrases

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By van Deemter, Guanyi Chen, Kees van Deemter
| arXiv
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Models of reference production: How do they withstand the test of time?

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By van Deemter, Guanyi Chen, Kees van Deemter
| arXiv
In recent years, many NLP studies have focused solely on performance improvement. In this work, we focus on the linguistic and scientific aspects of NLP. We use the task of generating referring expressions in context (REG-in-context) as a case study and start our analysis from GREC, a comprehensive set of shared tasks in English that addressed this topic over a decade ago.
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“Lying” in computer-generated texts: hallucinations and omissions

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By Becky Clifford, Kees van Deemter, Ehud Reiter
| OUPblog
The Oxford Handbook of Lying This handbook brings together past and current research on all aspects of lying and deception, with chapters contributed by leading international experts in the field. By Kees van Deemter and Ehud Reiter June 29th 2023 There is huge excitement about ChatGPT and other large generative language models that produce fluent and human-like texts in English and other human languages.
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[2305.14020] Does ChatGPT have Theory of Mind?

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By van Deemter, Kees van Deemter
| arXiv
arXiv:2305.14020 (cs) [Submitted on 23 May 2023 (v1), last revised 13 Sep 2023 (this version, v2)] Download PDF Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI) Cite as: arXiv:2305.14020 [cs.CL] (or arXiv:2305.14020v2 [cs.CL] for this version) https://doi.org/10.48550/arXiv.2305.14020 Submission history From: Bart Holterman [ view email] [v1] Tue, 23 May 2023 12:55:21 UTC (51 KB) [v2] Wed, 13 Sep 2023 11:22:19 UTC (1,783 KB) Bibliographic Tools Bibliographic...
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