Papers by Steven Gustafson

1 papers
A Practical Incremental Learning Framework For Sparse Entity Extraction (C18-1)

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Challenge: Existing approaches to extract entities from textual data are expensive and unattractive due to the high cost of training.
Approach: They propose a framework that integrates Entity Set Expansion and Active Learning to reduce the cost of data annotation.
Outcome: The proposed framework reduces the cost of sparse entity annotation by 85% and 45% while maintaining high accuracy.

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