Papers by Reem Bin-Hezam

1 papers
Combining Counting Processes and Classification Improves a Stopping Rule for Technology Assisted Review (2023.findings-emnlp)

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Challenge: Experiments on multiple data sets show that the proposed approach consistently improves performance and outperforms several alternative methods.
Approach: They propose to integrate a text classifier into an existing TAR stopping rule to train it without the need for additional annotations.
Outcome: Experiments on multiple data sets show the proposed approach outperforms other methods and achieves the desired level of recall with a lower cost than the existing method based on counting processes alone.

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