Zero-BertXGB: An Empirical Technique for Abstract Classification in Systematic Reviews

Zero-BertXGB: An Empirical Technique for Abstract Classification in Systematic Reviews

Abstract classification in systematic reviews (SRs) is a crucial step in evidence synthesis but is often time-consuming and labour-intensive. This study evaluates the effectiveness of various Machine Learning (ML) models and embedding techniques in automating this process. Five diverse datasets are...

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Bibliographic Details
Main Authors: Mohammad Shariful Islam, Mohammad Abu Tareq Rony, Md Rasel Hossain, Samah Alshathri, Walid El-Shafai
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Abstract classification
machine learning
natural language processing
zero-BertXGB methods
large language models
Online Access:https://ieeexplore.ieee.org/document/10845770/
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