Emiel van Miltenburg
Biographic Data
| ID | 8654254 |
|---|---|
| NAME | Emiel van Miltenburg |
| GIVEN NAMES | Emiel |
| FAMILY NAME | van Miltenburg |
| SIGNATURE | VAN MILTENBURG E |
| AFFILIATIONS | Tilburg University |
| ORCID | 0000-0002-7143-8961 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Natural Language Generation by Ehud Reiter
Justify Your Prompts
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
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
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
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
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
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
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
Justify Your Prompts
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)