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s-elBat

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Supervised and Unsupervised Semantic Table Interpretation Approach with Feature/Vector Entity Retrieval and Disambiguation Techniques

Discover s-elBat, the cutting-edge solution for Semantic Table Interpretation (STI) that sets a new standard. Combining both supervised and unsupervised approaches, s-elBat effectively addresses all key STI challenges, offering unparalleled accuracy and efficiency.

Key Features:

Advanced Entity Retrieval
Leveraging LamAPI (Label Matching API), s-elBat excels in IR-based Entity Retrieval (ER) with enhanced type-based filtering features for superior precision.
Dynamic Entity Disambiguation
Adapts seamlessly to your data environment, employing tailored techniques for both scenarios with and without training datasets.
Selbat architecture