#Wikidata random #SPARQL query: Universities ordered by number of #Mastodon IDs of people who studied there. w.wiki/63XG

This is MASSIVE. The Windows Subsystem for Linux in the Microsoft Store is now generally available on Windows 10 and 11! Windows 10 users can now run Linux GUI apps natively! devblogs.microsoft.com/command #wsl #windows #linux

Hi #NLP #NLProc #NLG folks -- I'm looking for US-based senior ML engineers focusing on natural language generation, #summarization and #reasoning to work with me at #Apple #Knowledge Platform. Industry experience required.

Please send me your resumes asap if you're interested, or refer your friends!

Boosts are welcome!


The full paper is here with this telling chart: cdn.cms-twdigitalassets.com/co

The experimental setup is interesting : Twitter deliberately excluded 1% of its 2016 users from the algorithmic timeline. These users serve as a control group to measure the effect of the algorithm.

The results surprised the study's authors, who expected an increase in amplification at the extremes, both on the right and the left. However, only the right is amplified. This is further proof that political representation with a center and extremes does not reflect the structure of the field.

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So, this concludes my 5 day #knowledgegraphs posts:

I see future in:

1. RDF+Surfaces for describing data policies


2. Materializable hypermedia APIs


3. The ideas behind #SolidProject to scale up your personal knowledge graph and cater for cross-app interoperability


4. RML for KG generation

5. Linked Data Event Streams for publishing


Stability AI has released #StableDiffusion 2.0. The #ml model is now up on #HuggingFace.

This model was trained on 768x768 images instead of 512x512.

The model and checkpoints are compatible with most 1.x software.


Curious to hear about your experiences with #SPARQLAnything and the integration/federation of legacy data. Please share if you tried out or know any working implementations.


#sparql #dataintegration #legacydata

@tdietterich If you'll forgive some self-promotion (and promotion of my close colleagues), we are finding LLMs to be useful at generating training data for more specialized models.


This can dramatically reduce the need for human-labeled data, making it possible to have customized models for all sorts of scenarios, domains, and tasks. And when properly constrained, the student model can even be more accurate than the LLM teacher.

We curated and analysed thousands of benchmarks -- to better understand the (mis)measurement of AI! 📏🤖🔬

We cover all of #NLProc and #ComputerVision.

Now live at Nature Communications: nature.com/articles/s41467-022

RT @ResearchGermany@twitter.com

📣 The @TIBHannover@twitter.com is looking to employ a data steward / data scientist (m/f/d) to join the Data Science & Digital Libraries Research Group 👉 ow.ly/7Tn850LElGs #ComputerScience #InformationScience #DataScience

🐦🔗: twitter.com/ResearchGermany/st

Please add missing #Mastodon accounts of organisations, projects and persons to #Wikidata with the property P4033 (and a start date).

You can see all entries with this query
and you will find interesting accounts there.
Now we have 3323, let's go!

Thanks for your #retoot.

We should use #Wikidata identifiers instead of #hashtags. Would require client support to use localized labels for input and output #Q1167863

A book review by @suzan of

Pretrained Transformers for Text Ranking: BERT and Beyond by Jimmy Lin, Rodrigo Nogueira, and Andrew Yates

"This textbook
could be the ideal cross-over from IR knowledge to the NLP field, using our common
friend BERT as the bridge."


In case you haven't heard, at Hugging Face we are building wikipedia-like crowdsource documentation on machine learning tasks 📚 Every page has simply put information on implementing machine learning tasks and building your first proof-of-concept without diving deep into nitty gritty of maths of machine learning 🤩 huggingface.co/tasks


I am currently teamlead and part of the CTO Team at inovex in Karlsruhe, Germany. We are an IT services company, with a innovation and research focus.

Previously EML, Heidelberg and UKP Lab, TU Darmstadt

Interests: #nlproc, #ai, #appliedai, #recsys

More a curator, mentor, enabler - less a researcher. Also: Business Development, Sales, Marketing.

Fun fact: in addition to search for hashtags, you can go to a special sigmoid.social/tags/hashtag url to browse local posts with a given hashtags.

For instance:

We recommend Sigmoiders use #PaperThread , #NewPaper , #NLPProc, #CV , #RL , and other hashtags listed at sigmoid.social/about/more

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