A graph-based blocking approach for entity matching using pre-trained contextual embedding models. - John Bosco Mugeni; Toshiyuki Amagasa (SAC, 2022)

AdapterEM: Pre-trained Language Model Adaptation for Generalized Entity Matching using Adapter-tuning. - John Bosco Mugeni; Steven J. Lynden; Toshiyuki Amagasa; Akiyoshi Matono (IDEAS, 2023)

MultiMatch: Low-Resource Generalized Entity Matching Using Task-Conditioned Hyperadapters in Multitask Learning. - John Bosco Mugeni; Steven J. Lynden; Toshiyuki Amagasa; Akiyoshi Matono (DaWaK, 2024)

AssistEM: Domain Instruction Tuning for Enhanced Entity Matching. - John Bosco Mugeni; Steven J. Lynden; Toshiyuki Amagasa; Akiyoshi Matono (PAKDD (5), 2025)