Papers by Reem Bin-Hezam
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. |