3 citations · 13 across the 9 of their papers we have counts for
9 papers
Linked Papers With Code: The Latest in Machine Learning as an RDF Knowledge Graph
Michael Färber, David Lamprecht
In this paper, we introduce Linked Papers With Code (LPWC), an RDF knowledge graph that provides comprehensive, current information about almost 400,000 machine learning publicatio…
Analyzing the Impact of Companies on AI Research Based on Publications
Michael Färber, Lazaros Tampakis
Artificial Intelligence (AI) is one of the most momentous technologies of our time. Thus, it is of major importance to know which stakeholders influence AI research. Besides resear…
A Full-fledged Commit Message Quality Checker Based on Machine Learning
David Faragó, Michael Färber, Christian Petrov
Commit messages (CMs) are an essential part of version control. By providing important context in regard to what has changed and why, they strongly support software maintenance and…
SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triples
Michael Färber, David Lamprecht, Johan Krause +2
We present SemOpenAlex, an extensive RDF knowledge graph that contains over 26 billion triples about scientific publications and their associated entities, such as authors, institu…
Measuring Variety, Balance, and Disparity: An Analysis of Media Coverage of the 2021 German Federal Election
Michael Färber, Jannik Schwade, Adam Jatowt
Determining and measuring diversity in news articles is important for a number of reasons, including preventing filter bubbles and fueling public discourse, especially before elect…
Vocab-Expander: A System for Creating Domain-Specific Vocabularies Based on Word Embeddings
Michael Färber, Nicholas Popovic
In this paper, we propose Vocab-Expander at https://vocab-expander.com, an online tool that enables end-users (e.g., technology scouts) to create and expand a vocabulary of their d…