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candidate-generation

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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!)

  • Updated Apr 23, 2024
  • Python

A scalable two-stage news recommender that retrieves relevant candidates and reranks them using hybrid lexical and semantic features to optimize top-K recommendation quality.

  • Updated Jan 16, 2026
  • Jupyter Notebook

Deterministic invoice extraction using native PDF text layers. No OCR nonsense, no brittle rules that break at scale, no vendor lock-in paying exorbitant prices for creative interpretations of financial documents. This is my battle, I pick this hill!

  • Updated Jan 9, 2026
  • Python

📄 Extract features from invoices using a robust text-layer span extractor. Customize easily for various projects while leveraging core functionality.

  • Updated Jan 18, 2026
  • Python

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