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#knaw

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Congratulations to our colleague Lodi Nauta on being elected vice-president of the Royal Netherlands Academy of Arts and Sciences ( @KNAW 🇳🇱)!

Over the next three years, Lodi will combine this role with his work as a professor in the History of Philosophy, dedicating his time to strengthening KNAW's role in Dutch science and bridging the gap between politics, policy, and research. 🧠📚

More info (in Dutch): rug.nl/filosofie/organization/ and knaw.nl/nieuws/lodi-nauta-nieu
#knaw #philosophy

Rijksuniversiteit Groningen · Lodi Nauta nieuwe vicepresident KNAWLodi Nauta per 1 april vicepresident KNAW

Paginagrote advertentie tegen de bezuinigingen in het hoger onderwijs van de KNAW: 'Kabinet, maak niet kapot wat ons land zo succesvol maakt.'

'Stop met de onverantwoorde bezuinigingen op wetenschap
Het kabinet is van plan om historisch hard te bezuinigen op onderwijs, onderzoek en innovatie. Dit heeft grote negatieve gevolgen voor de economie en maatschappij op lange termijn. Tevens schaadt het onze reputatie als kennisland.'

knaw.nl/nl/themas/stop-met-de-

I released new versions of my tooling around STAM (Standoff Text Annotation Model), a data model for working with (radical) stand-off annotation on text, with a practical set of tooling (Rust library, Python library, CLI tools) for working with such data. New is a tool to convert XML like TEI to plain text and stand-off annotation, which effectively 'untangles' a raw text and its annotations. Also new is improved HTML visualisation. See annotation.github.io/stam

annotation.github.ioSTAM: Stand-off Text Annotation ModelSTAM is a standalone data model for stand-off annotation on text. It allows you to describe annotations on text in your own terms and offers practical tooling to do so.

I'd like to announce the new major release of STAM: Stand-off Text Annotation Model. This is a standalone data model for annotation on text. It comes with various low-level tooling such as libraries for #rust, #python and various command-line tools. This is a big research software project I've been working on for the past year for #clariah at #knaw and which I hope might prove useful for others: annotation.github.io/stam

annotation.github.ioSTAM: Stand-off Text Annotation ModelSTAM is a standalone data model for stand-off annotation on text. It allows you to describe annotations on text in your own terms and offers practical tooling to do so.