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Found 7 papers, 4 papers with code
TARexp: A Python Framework for Technology-Assisted Review Experiments
Technology-assisted review (TAR) is an important industrial application of information retrieval (IR) and machine learning (ML).
TAR on Social Media: A Framework for Online Content Moderation
Content moderation (removing or limiting the distribution of posts based on their contents) is one tool social networks use to fight problems such as harassment and disinformation.
Certifying One-Phase Technology-Assisted Reviews
Technology-assisted review (TAR) workflows based on iterative active learning are widely used in document review applications.
On Minimizing Cost in Legal Document Review Workflows
Technology-assisted review (TAR) refers to human-in-the-loop machine learning workflows for document review in legal discovery and other high recall review tasks.
Heuristic Stopping Rules For Technology-Assisted Review
Technology-assisted review (TAR) refers to human-in-the-loop active learning workflows for finding relevant documents in large collections.
Goldilocks: Just-Right Tuning of BERT for Technology-Assisted Review
We indeed find that the pre-trained BERT model reduces review cost by 10% to 15% in TAR workflows simulated on the RCV1-v2 newswire collection.
A Sequential Algorithm for Training Text Classifiers
The ability to cheaply train text classifiers is critical to their use in information retrieval, content analysis, natural language processing, and other tasks involving data which is partly or fully textual.
