A Practical Incremental Learning Framework For Sparse Entity Extraction

COLING 2018 Hussein S. Al-OlimatSteven GustafsonJason MackayKrishnaprasad ThirunarayanAmit Sheth

This work addresses challenges arising from extracting entities from textual data, including the high cost of data annotation, model accuracy, selecting appropriate evaluation criteria, and the overall quality of annotation. We present a framework that integrates Entity Set Expansion (ESE) and Active Learning (AL) to reduce the annotation cost of sparse data and provide an online evaluation method as feedback... (read more)

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