Adaptive Multi-Document Summarisation: a Hybrid AI Approach with Graph BERTSUM, Q-Learning, and Domain Personalisation

Authors: Sunilkumar Ketineni, Sheela J, Bijay Kumar Paikaray
Publication: International Journal of Internet Manufacturing and Services
Published: Jan 1, 2027
Source: Crossref
Back to Search View Original Cite This Article

Related Articles

Investigation and Optimization of Air Pollution Risk by a Multi-criteria Decision Making Method Using Fuzzy TOPSIS: A Case Study of Construction Workers

Eghbal Sekhavati, Reza Jalilzadeh Yengejeh - Oct 2121

Read More
COVID-19 and FinTech market efficiency: a test of adaptive market hypothesis

Sheena Sara Suresh Philip, Babak Naysary et al. - Jan 2028

Read More
Adaptive Block Banding Precision Matrix Estimation For Multivariate Longitudinal Data

Chunhui Liang, Wenqing Ma et al. - Jan 2027

Read More
Enhancing fake news detection using light gradient boosting machine and term frequency-inverse document frequency-based algorithms

Chandresh Parekha, Ravi Sheth - Jan 2027

Read More
A Locally Adaptive Algorithm for Multiple Testing with Network Structure

Ziyi Liang, T. Tony Cai et al. - Jan 2027

Read More