1 citations · 2 across the 3 of their papers we have counts for
3 papers
Hidden Entity Detection from GitHub Leveraging Large Language Models
Lu Gan, Martin Blum, Danilo Dessi +3
Named entity recognition is an important task when constructing knowledge bases from unstructured data sources. Whereas entity detection methods mostly rely on extensive training d…
Evaluating Digital Library Search Systems by using Formal Process Modelling
Christin Katharina Kreutz, Martin Blum, Philipp Schaer +2
Evaluations of digital library information systems are typically centred on users correctly, efficiently, and quickly performing predefined tasks. Additionally, users generally enj…
SchenQL: A query language for bibliographic data with aggregations and domain-specific functions
Christin Katharina Kreutz, Martin Blum, Ralf Schenkel
Current search interfaces of digital libraries are not suitable to satisfy complex or convoluted information needs directly, when it comes to cases such as "Find authors who only r…