Empirical Study of Deep Learning for Text Classification in Legal ...

Empirical Study of Deep Learning for Text Classification in Legal Document Review. Abstract: Predictive coding has been widely used in legal matters to find ...

Logistic Regression (LR) and Support Vector. Machines (SVM) are two popular machine learning algorithms used in predictive coding. Recently, deep learning ...

Empirical Study of Deep Learning for Text Classification in Legal ...

This paper reports our preliminary studies in using deep learning in legal document review. Specifically, we conducted experiments to compare deep learning ...

Empirical Study of Deep Learning for Text Classification in Legal ...

A comparison of deep learning results with results obtained using a SVM algorithm on the four datasets of real legal matters showed that CNN performed ...

Empirical Study of LLM Fine-Tuning for Text Classification in Legal ...

These LLMs are pretrained on exceedingly large amounts of data; however, practitioners can perform additional training, or “fine-tuning,” to ...

Empirical Study of Deep Learning for Text Classification in Legal ...

Empirical Study of Deep Learning for Text Classification in Legal Document Review. F. Wei, H. Qin, S. Ye, and H. Zhao. IEEE BigData, page 3317-3320.

Empirical Comparisons of CNN with Other Learning Algorithms for ...

Research has shown that Convolutional Neural Networks (CNN) can be effectively applied to text classification as part of a predictive coding protocol. That said ...

Empirical Study of Deep Learning for Text Classification in Legal ...

Specifically, we conducted experiments to compare deep learning results with results obtained using a SVM algorithm on the four datasets of real ...

Hybrid CNN: An Empirical Analysis of Machine Learning Models for ...

Legal judgment prediction (LJP) is viewed as a text classification cum prediction problem, with encoding models crucial for accurate textual representation and.

A comparative study of automated legal text classification using ...

systems in the legal domain or other fields. Keywords: Legal text classification, Machine learning, Deep learning, Domain concept, Word ...

Empirical Evaluations of Active Learning Strategies in Legal ... - arXiv

Empirical Evaluations of Active Learning Strategies in Legal Document Review. Abstract— One type of machine learning, text classification, is now regularly ...

A comparative study of automated legal text classification using ...

Little attention is paid to text classification for U.S. legal texts. Deep learning has been applied to improving text classification performance. Its ...

Empirical Comparisons of CNN with Other Learning Algorithms for ...

Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review ... Abstract: Research has shown that Convolutional ...

Empirical Study of LLM Fine-Tuning For Text Classification in Legal ...

This document is an abstract from a conference paper about an empirical study on fine-tuning large language models for text classification in legal document ...

A Review on the Application of Deep Learning in Legal Domain

Keywords: Deep Learning, Legal Text analytics, Classification ... Empirical Study of Deep Learning for Text. Classification in Legal Document ...

Automatic Identification and Empirical Analysis of Legally Relevant ...

text classification, factors, empirical legal analysis, legal text analy- sis, machine learning. ACM Reference Format: Morgan Gray, Jaromir Savelka, Wesley ...

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Machine Learning Approach for Automated Legal Text Classification

In the proposed architecture, lexical, syntactical, and semantical information is used as input for specialized machine learning algorithms, such as, support ...

A comparative study of automated legal text classification using ...

(2013). Speech recognition with deep recurrent neural networks. In 2013 IEEE international conference on acoustics, speech and signal processing (pp. 6645–6649) ...

Empirical Study of LLM Fine-Tuning For Text Classification in Legal ...

The fine-tuned model showed improved performance for the task of text classification compared to the pretrained model, suggesting that fine-tuning can enhance ...