Results 1 to 10 of about 2,490 (25)

Annotation as a New Paradigm in Research Archiving [PDF]

Proceedings of the American Society for Information Science and Technology; Volume 49, Issue 1, pages 1-10, 2012, 2014
We outline a paradigm to preserve results of digital scholarship, whether they are query results, feature values, or topic assignments. This paradigm is characterized by using annotations as multifunctional carriers and making them portable. The testing grounds we have chosen are two significant enterprises, one in the history of science, and one in ...
arxiv   +1 more source

Transmission profile of the Dutch Open Telescope H$α$ Lyot filter [PDF]

Astronomische Nachrichten, Vol. 335, p. 409, (2014), 2017
Accurate knowledge of the spectral transmission profile of a Lyot filter is important, in particular in comparing observations with simulated data. The paper summarizes available facts about the transmission profile of the DOT H$\alpha$ Lyot filter pointing to a discrepancy between sidelobe-free Gaussian-like profile measured spectroscopically and ...
arxiv   +1 more source

European Longitude Prizes. II. Astronomy, Religion and Engineering Solutions in the Dutch Republic [PDF]

arXiv, 2021
The late-sixteenth century witnessed a major expansion of Dutch shipping activity from northern European waters to the Indian Ocean and beyond. At a time when the Renaissance had just arrived on the North Sea's shores, scientist-scholars, navigators and merchants alike realised the urgent need for and potential profitability of developing a practical ...
arxiv  

SICKNL: A Dataset for Dutch Natural Language Inference [PDF]

arXiv, 2021
We present SICK-NL (read: signal), a dataset targeting Natural Language Inference in Dutch. SICK-NL is obtained by translating the SICK dataset of Marelli et al. (2014)from English into Dutch. Having a parallel inference dataset allows us to compare both monolingual and multilingual NLP models for English and Dutch on the two tasks.
arxiv  

DUMB: A Benchmark for Smart Evaluation of Dutch Models [PDF]

arXiv, 2023
We introduce the Dutch Model Benchmark: DUMB. The benchmark includes a diverse set of datasets for low-, medium- and high-resource tasks. The total set of nine tasks includes four tasks that were previously not available in Dutch. Instead of relying on a mean score across tasks, we propose Relative Error Reduction (RER), which compares the DUMB ...
arxiv  

Epistemic confidence, the Dutch Book and relevant subsets [PDF]

arXiv, 2021
We use a logical device called the Dutch Book to establish epistemic confidence, defined as the sense of confidence \emph{in an observed} confidence interval. This epistemic property is unavailable -- or even denied -- in orthodox frequentist inference.
arxiv  

Language Resources for Dutch Large Language Modelling [PDF]

arXiv, 2023
Despite the rapid expansion of types of large language models, there remains a notable gap in models specifically designed for the Dutch language. This gap is not only a shortage in terms of pretrained Dutch models but also in terms of data, and benchmarks and leaderboards. This work provides a small step to improve the situation.
arxiv  

Dutch book in simple multivariate normal prediction: Another look [PDF]

IMS Collections 2008, Vol. 2, 12-23, 2008
In this expository paper we describe a relatively elementary method of establishing the existence of a Dutch book in a simple multivariate normal prediction setting. The method involves deriving a nonstandard predictive distribution that is motivated by invariance.
arxiv   +1 more source

Compressing Word Embeddings Using Syllables [PDF]

arXiv, 2022
This work examines the possibility of using syllable embeddings, instead of the often used $n$-gram embeddings, as subword embeddings. We investigate this for two languages: English and Dutch. To this end, we also translated two standard English word embedding evaluation datasets, WordSim353 and SemEval-2017, to Dutch.
arxiv  

Evaluating Bias In Dutch Word Embeddings [PDF]

arXiv, 2020
Recent research in Natural Language Processing has revealed that word embeddings can encode social biases present in the training data which can affect minorities in real world applications. This paper explores the gender bias implicit in Dutch embeddings while investigating whether English language based approaches can also be used in Dutch.
arxiv