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cs.DL2024
Automatically detecting scientific political science texts from a large general document index
Nina Smirnova
This technical report outlines the filtering approach applied to the collection of the Bielefeld Academic Search Engine (BASE) data to extract articles from the political science d…
cs.DL2023
Embedding Models for Supervised Automatic Extraction and Classification of Named Entities in Scientific Acknowledgements
Nina Smirnova, Philipp Mayr
Acknowledgments in scientific papers may give an insight into aspects of the scientific community, such as reward systems, collaboration patterns, and hidden research trends. The a…