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Emiel van Miltenburg

Biographic Data

ID8654254
NAMEEmiel van Miltenburg
GIVEN NAMESEmiel
FAMILY NAMEvan Miltenburg
SIGNATUREVAN MILTENBURG E
AFFILIATIONSTilburg University
ORCID0000-0002-7143-8961
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Natural Language Generation by Ehud Reiter

    Open Access•Emiel van Miltenburg, Emiel Krahmer•ARTICLE•Computational Linguistics•2026

  • Justify Your Prompts

    Open Access•Eduardo Calò, David M Howcroft et al.•ARTICLE•Computational Linguistics•2026

    When you use a large language model (LLM) in your research, you often need to formulate a prompt to elicit some relevant output from the LLM. This step is challenging since (1) LLMs are known to be brittle and their results may vary drastically between different prompts; and (2) for any given task, there are infinitely many possible prompts. Thus we end up with the following problem: if you cannot try out infinitely many prompts, how do you justi…

  • Minds

    Open Access•Ad Backus, Michael Cohen et al.•ARTICLE•Linguistics in the Netherlands•2023

    TEST 02 - Elsevier's Scopus, the largest abstract and citation database of peer-reviewed literature. Search and access research from the science, technology, medicine, social sciences and arts and humanities fields

  • Reimagining language

    Open Access•Marlou Rasenberg, Azeb Amha et al.•ARTICLE•Linguistics in the Netherlands•2023

    What is language and who or what can be said to have it? In this essay we consider this question in the context of interactions with non-humans, specifically: animals and computers. While perhaps an odd pairing at first glance, here we argue that these domains can offer contrasting perspectives through which we can explore and reimagine language. The interactions between humans and animals, as well as between humans and computers, reveal both the…

  • Scalar Diversity

    Bob Van Tiel, Emiel van Miltenburg et al.•ARTICLE•Journal of Semantics•2014

    We present experimental evidence showing that there is considerable variation between the rates at which scalar expressions from different lexical scales give rise to upper-bounded construals. We investigated two factors that might explain the variation between scalar expressions: first, the availability of the lexical scales, which we measured on the basis of association strength, grammatical class, word frequencies and semantic relatedness, and…

No prominent works on this page.

  • Scalar Diversity

    Bob Van Tiel, Emiel van Miltenburg et al.•ARTICLE•Journal of Semantics•2014

    We present experimental evidence showing that there is considerable variation between the rates at which scalar expressions from different lexical scales give rise to upper-bounded construals. We investigated two factors that might explain the variation between scalar expressions: first, the availability of the lexical scales, which we measured on the basis of association strength, grammatical class, word frequencies and semantic relatedness, and…

  • Minds

    Open Access•Ad Backus, Michael Cohen et al.•ARTICLE•Linguistics in the Netherlands•2023

    TEST 02 - Elsevier's Scopus, the largest abstract and citation database of peer-reviewed literature. Search and access research from the science, technology, medicine, social sciences and arts and humanities fields

  • Reimagining language

    Open Access•Marlou Rasenberg, Azeb Amha et al.•ARTICLE•Linguistics in the Netherlands•2023

    What is language and who or what can be said to have it? In this essay we consider this question in the context of interactions with non-humans, specifically: animals and computers. While perhaps an odd pairing at first glance, here we argue that these domains can offer contrasting perspectives through which we can explore and reimagine language. The interactions between humans and animals, as well as between humans and computers, reveal both the…

  • Natural Language Generation by Ehud Reiter

    Open Access•Emiel van Miltenburg, Emiel Krahmer•ARTICLE•Computational Linguistics•2026

  • Justify Your Prompts

    Open Access•Eduardo Calò, David M Howcroft et al.•ARTICLE•Computational Linguistics•2026

    When you use a large language model (LLM) in your research, you often need to formulate a prompt to elicit some relevant output from the LLM. This step is challenging since (1) LLMs are known to be brittle and their results may vary drastically between different prompts; and (2) for any given task, there are infinitely many possible prompts. Thus we end up with the following problem: if you cannot try out infinitely many prompts, how do you justi…

Language and cultural evolution (3 works) · Linguistics (3 works) · Natural language (3 works) · Philosophy (3 works) · Computer Science (2 works) · Language, Discourse, Communication Strategies (2 works) · Psychology (2 works) · Topic Modeling (2 works) · Artificial Intelligence in Healthcare and Education (1 work) · Basis (linear algebra) (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