Investigating Software Usage in the Social Sciences: A Knowledge Graph Approach

Knowledge about the software used in scientific investigations is necessary for different reasons, including provenance of the results, measuring software impact to attribute developers, and bibliometric software citation analysis in general. Additionally, providing information about whether and how the software and the source code are available allows an assessment about the state and role of open source software in science in general... (read more)

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Datasets


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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Named Entity Recognition SoSciSoCi Bi-LSTM-CRF (SSC->GSC) Precision 0.83 # 1
Recall 0.82 # 1
F1 0.82 # 1

Methods used in the Paper


METHOD TYPE
Sigmoid Activation
Activation Functions
Tanh Activation
Activation Functions
LSTM
Recurrent Neural Networks