An Empirical Study on Transfer Learning for Privilege Review

Author:

Zhao Haozhen,Ye Shi,Yang Jingchao

Publisher

IEEE

Reference18 articles.

1. How transferable are features in deep neural networks?;yosinski;arXiv 1411 1792 [cs LG],2014

2. Very Deep Convolutional Networks for Large-Scale Image Recognition;simonyan,2015

3. Image Analytics for Legal Document Review : A Transfer Learning Approach

4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding;devlin,2018

5. A Primer in BERTology: What We Know About How BERT Works

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Empirical Study of LLM Fine-Tuning for Text Classification in Legal Document Review;2023 IEEE International Conference on Big Data (BigData);2023-12-15

2. An Empirical Analysis of Text Segmentation for BERT Classification in Extended Documents;2023 IEEE International Conference on Big Data (BigData);2023-12-15

3. An Empirical Comparison of DistilBERT, Longformer and Logistic Regression for Predictive Coding;2022 IEEE International Conference on Big Data (Big Data);2022-12-17

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