A Regularization Approach to Combining Keywords and Training Data in Technology-Assisted Review

Author:

Yang Eugene1,Lewis David D.2,Frieder Ophir1

Affiliation:

1. IR Lab, Georgetown University, Washington, DC, USA

2. Cyxtera Technologies, Dallas, TX, USA

Publisher

ACM

Reference35 articles.

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5. Gordon V Cormack and Maura R Grossman. 2015. Autonomy and reliability of continuous active learning for technology-assisted review. arXiv:1504.06868 (2015). Gordon V Cormack and Maura R Grossman. 2015. Autonomy and reliability of continuous active learning for technology-assisted review. arXiv:1504.06868 (2015).

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1. Contextualization with SPLADE for High Recall Retrieval;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

2. Explainable e-Discovery (XeD) Using an Interpretable Fuzzy ARTMAP Neural Network for Technology-Assisted Review;2023 IEEE International Conference on Big Data (BigData);2023-12-15

3. Fuzzy Law: Towards Creating a Novel Explainable Technology-Assisted Review System for e-Discovery;2022 IEEE International Conference on Big Data (Big Data);2022-12-17

4. TARexp;Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval;2022-07-06

5. Goldilocks: Just-Right Tuning of BERT for Technology-Assisted Review;Lecture Notes in Computer Science;2022

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