SIGIR 2017 Candidate Selection Tutorial (http://sigir.org/sigir2017/program/tutorials/#candidate)
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Updated
Aug 6, 2017 - Python
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candidate-selection
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Combining Linking Techniques (CLiT) is an entity linking combination and execution framework, allowing for the seamless integration of EL systems and result exploitation for the sake of system reusability, result reproducibility, analysis and continuous improvement. (We hate waste. Especially wasting time. So let's reuse instead!)
nlp
natural-language-processing
framework
disambiguation
knowledge-graph
named-entity-recognition
entity-linking
named-entity-linking
candidate-selection
named-entity-disambiguation
mention-detection
candidate-generation
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Updated
Apr 23, 2024 - Python
'Asips' is a Research conducted for automating the pulsar star candidate selection process. This is the API of Asips which can be used by anyone. This implementation uses the HTRU2 dataset.
python
api
flask
machine-learning
firebase-realtime-database
gaussian-distribution
candidate-selection
scikit-multiflow
hellinger-distance-criterion
pulsar-stars
vfdt
efdt
stream-learning
online-classification
gh-efdt
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Updated
Oct 15, 2021 - Python
A sophisticated candidate selection algorithm leveraging multi-criteria analysis and machine learning to identify top software engineering candidates. This tool features flexible filtering, score adjustment, and detailed visualizations to streamline the recruitment process.
python
machine-learning
scikit-learn
pandas
data-visualization
data-analysis
recruitment
candidate-selection
python-data-analysis
plotting-in-python
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Updated
Jun 3, 2024 - Python
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