5 papers
Applicability Condition Extraction for Therapeutic Drug-Disease Relations
Guanting Luo, Noriki Nishida, Yuji Matsumoto +1
Identifying conditions that a certain drug takes therapeutic effect on a target disease is crucial for clinical decision-making support. However, most existing biomedical informati…
The Wisdom of Many Queries: Complexity-Diversity Principle for Dense Retriever Training
Xincan Feng, Noriki Nishida, Yusuke Sakai +1
Synthetic query generation has become essential for training dense retrievers, yet prior methods generate one query per document, focusing solely on query quality. We are the first…
Better Generalizing to Unseen Concepts: An Evaluation Framework and An LLM-Based Auto-Labeled Pipeline for Biomedical Concept Recognition
Shanshan Liu, Noriki Nishida, Fei Cheng +6
Generalization to unseen concepts is a central challenge due to the scarcity of human annotations in Mention-agnostic Biomedical Concept Recognition (MA-BCR). This work makes two k…
Post Persona Alignment for Multi-Session Dialogue Generation
Yi-Pei Chen, Noriki Nishida, Hideki Nakayama +1
Multi-session persona-based dialogue generation presents challenges in maintaining long-term consistency and generating diverse, personalized responses. While large language models…
MA-COIR: Leveraging Semantic Search Index and Generative Models for Ontology-Driven Biomedical Concept Recognition
Shanshan Liu, Noriki Nishida, Rumana Ferdous Munne +4
Recognizing biomedical concepts in the text is vital for ontology refinement, knowledge graph construction, and concept relationship discovery. However, traditional concept recogni…