2 papers
cs.IR2025
Extracting Document Relations from Search Corpus by Marginalizing over User Queries
Yuki Iwamoto, Kaoru Tsunoda, Ken Kaneiwa
Understanding relationships between documents in large-scale corpora is essential for knowledge discovery and information organization. However, existing approaches rely heavily on…
cs.AI2024
A Self-matching Training Method with Annotation Embedding Models for Ontology Subsumption Prediction
Yukihiro Shiraishi, Ken Kaneiwa
Recently, ontology embeddings representing entities in a low-dimensional space have been proposed for ontology completion. However, the ontology embeddings for concept subsumption…