Post #1203968

2025-01-29 13:22 UTC

ReadMe2KG: Github ReadMe to Knowledge Graph #Challenge has been published as part of the Natural Scientific Language Processing and Research Knowledge Graphs #NSLP2025 workshop co-located with #eswc2025. This #NER task aims to complement the NDFI4DataScience KG via information extraction from GitHub README files. task description: https://nfdi4ds.github.io/nslp2025/docs/readme2kg_shared_task.html website: https://www.codabench.org/competitions/5396/ @eswc_conf @GenAsefa @shufan @NFDI4DS #NFDIrocks #knowledgegraphs #semanticweb #nlp #informationextraction

Replies (2)

@altbot@fuzzies.wtf 2025-01-29 13:23

@lysander07 Alt text: A screenshot of the README2KG competition website shows details about the competition, including its organizer, current phase end date (February 15th, 2025), server time, and docker image. There are sections for "Get Started," "Phases," "My Submissions," "Results," and "Forum." The main content describes a named entity recognition task using approximately 160 README.md files as a dataset, focusing on 10 entity types from the NFDI4DS Ontology. Participant numbers and submissions are displayed as 5 and 1 respectively. Provided by @altbot, generated using Gemini

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@jpmccu@mastodon.acm.org 2025-01-29 14:53

@lysander07 @eswc_conf @GenAsefa @shufan @NFDI4DS This sounded interesting until I noticed that it’s *just* named entity recognition? Knowledge graphs are more than entities, they’re entities, relations, and attributes!

Open ##1216730