Text Retrieval Priors for Bayesian Logistic Regression

Author:

Yang Eugene1,Lewis David D.2,Frieder Ophir1

Affiliation:

1. Georgetown University, Washington, DC, USA

2. Cyxtera Technologies, Dallas, TX, USA

Publisher

ACM

Reference17 articles.

1. Mustafa Abualsaud Nimesh Ghelani Haotian Zhang Mark D Smucker Gordon V Cormack and Maura R Grossman. 2018. A System for Efficient High-Recall Retrieval. In SIGIR. 1317--1320. 10.1145/3209978.3210176 Mustafa Abualsaud Nimesh Ghelani Haotian Zhang Mark D Smucker Gordon V Cormack and Maura R Grossman. 2018. A System for Efficient High-Recall Retrieval. In SIGIR. 1317--1320. 10.1145/3209978.3210176

2. Evaluation of machine-learning protocols for technology-assisted review in electronic discovery

3. Constructing informative prior distributions from domain knowledge in text classification

4. Large-Scale Bayesian Logistic Regression for Text Categorization

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2. 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

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

5. Heuristic stopping rules for technology-assisted review;Proceedings of the 21st ACM Symposium on Document Engineering;2021-08-16

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