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Cím: Evaluating human versus machine learning performance in a legaltech problem
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Dátum: 2022
Feltöltve: 2022-04-11
(MDPI, 2022)
Many machine learning-based document processing applications have been published in recent years. Applying these methodologies can reduce the cost of labor-intensive tasks and induce changes in the company’s structure. The ...
Cím: Building a Production-Ready Multi-Label Classifier for Legal Documents with Digital-Twin-Distiller
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Dátum: 2022
Feltöltve: 2022-04-11
(MDPI, 2022)
One of the most time-consuming parts of an attorney’s job is finding similar legal cases. Categorization of legal documents by their subject matter can significantly increase the discoverability of digitalized court ...
Cím: Can Triplet Loss Be Used for Multi-Label Few-Shot Classification? A Case Study
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Dátum: 2023
Feltöltve: 2024-02-19
(2023)
Few-shot learning is a deep learning subfield that is the focus of research nowadays. This paper addresses the research question of whether a triplet-trained Siamese network, initially designed for multi-class classification, ...