Comparative Analysis of Attention Mechanisms in Neural Text Summarization
Artificial Intelligence, Data Analytics, and Intelligent Systems: 45AI 2025
Automatic text summarization is indispensable for navigating today’s information overload, yet many organisations cannot afford to train or serve the latest Transformer models. Although additive (Bahdanau) and dot-product (Luong) attention remain the cornerstones of recurrent sequence-to-sequence (Seq2Seq) summarizers, the literature still lacks a controlled, head-to-head…