Categories
Research Teaching

Digital Humanities

Researchers within the field of humanities are typically not heavy users of HPC (High Performance Computing) or cloud computing. However, a book, once digitalized, is actually quite a big data set. Assistant Professor at the department of Design and Communication, Zhiru Sun, tells us how she has been helping researchers from the Faculty of Humanities at SDU solve their research problems through digital methods and how using computing resources such as UCloud, also called DeiC Interactive HPC, can be a highly viable option if your project e.g. involves looking for patterns and similarities in digitalized texts.

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Categories
Research

Første kald om regnetid på de nationale HPC-anlæg er nu åbent

Er du forsker eller Ph.d.-studerende ved et dansk universitet kan du nu søge om adgang til regnetid på de nationale HPC-anlæg, inklusiv den danske del af EuroHPC LUMI. Opslaget er åbent for alle forskningsområder.

Der er åbent for ansøgninger om adgang til regneressourcer på de nationale HPC-anlæg. Det gælder også den danske del af EuroHPC LUMI.

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Categories
Research

HPC and Social Sciences

Professor (WSR) Oliver Baumann from the Department of Business & Management at SDU tells us how he uses supercomputing for his research and gives us his take on how researchers from social sciences, who are beginning to reach a limit with their own computers, can benefit from Interactive HPC.

In a current project, Baumann collaborates with two American colleagues to study resource allocation in hierarchical organizations…

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Categories
Publication Research

DaCy: A Unified Framework for Danish NLP

A new set of Danish deep learning models for natural language processing (NLP) was trained in UCloud. Danish NLP has in recent years obtained considerable improvements with the addition of multiple new datasets and models. However, at present, there is no coherent framework for applying state-of-the-art models for Danish. We present DaCy: a unified framework for Danish NLP built on SpaCy. DaCy uses efficient multitask models which obtain state-of-the-art performance on named entity recognition, part-of-speech tagging, and dependency parsing.

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Categories
Event Research Workshop

Improve your research impact: Metadata for Machines Workshop

One Danish research group can get the unique opportunity to make their metadata machine actionable in a 2 x 1/2 day event – free of charge. The concept is developed by researchers for researchers.

The aim of the M4M WS is to work practically on how to improve your metadata and make them machine-actionable, thus complying with the Findable, Accessible, Interoperable and Reusable (FAIR) principles.

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Categories
Publication Research

When no news is bad news – Detection of negative events from news media content

During the first wave of Covid-19 information decoupling could be observed in the flow of news media content. The corollary of the content alignment within and between news sources experienced by readers (i.e., all news transformed into Corona-news), was that the novelty of news content went down as media focused monotonically on the pandemic event. This all-important Covid-19 news theme turned out to be quite persistent…

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