Rumana Ferdous Munne — accepted AI-conference papers

2025

Entity Profile Generation and Reasoning with LLMs for Entity Alignment

Rumana Ferdous Munne, Md Mostafizur Rahman, Yuji Matsumoto

EMNLP 2025

Entity alignment (EA) involves identifying and linking equivalent entities across different knowledge graphs (KGs). While knowledge graphs provide structured information about real-world entities, only a small fraction of these entities are aligned. The entity alignment process is challenging due to

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2025

Zero-Shot Entailment Learning for Ontology-Based Biomedical Annotation Without Explicit Mentions

Rumana Ferdous Munne, Noriki Nishida, Shanshan Liu, Narumi Tokunaga, Yuki Yamagata, Kouji Kozaki +1

COLING 2025main

Automatic biomedical annotation is essential for advancing medical research, diagnosis, and treatment. However, it presents significant challenges, especially when entities are not explicitly mentioned in the text, leading to difficulties in extraction of relevant information. These challenges are i…

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