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Found 5 papers, 1 papers with code
SoMeSci- A 5 Star Open Data Gold Standard Knowledge Graph of Software Mentions in Scientific Articles
To the best of our knowledge, SoMeSci is the most comprehensive corpus about software mentions in scientific articles, providing training samples for Named Entity Recognition, Relation Extraction, Entity Disambiguation, and Entity Linking.
Investigating Software Usage in the Social Sciences: A Knowledge Graph Approach
In this paper, we present SoftwareKG - a knowledge graph that contains information about software mentions from more than 51, 000 scientific articles from the social sciences.
Ranked #1 on
Named Entity Recognition (NER)
on SoSciSoCi
Reproducible Research is more than Publishing Research Artefacts: A Systematic Analysis of Jupyter Notebooks from Research Articles
To empirically confirm this, we have been systematically analysing research publications that also published their investigations as Jupyter notebooks.
Digital Libraries
State-Space Abstractions for Probabilistic Inference: A Systematic Review
Furthermore, we provide new high-level categories that classify the approaches, based on common properties of the approaches.
Sequential Lifted Bayesian Filtering in Multiset Rewriting Systems
We sketch a novel inference algorithm that provides a solution by incorporating concepts from Lifted Inference algorithms, Probabilistic Multiset Rewriting Systems, and Computational State Space Models.
