Transformer-based Approach for Predicting Chemical Compound Structures. - Yutaro Omote; Kyoumoto Matsushita; Tomoya Iwakura; Akihiro Tamura; Takashi Ninomiya (AACL/IJCNLP, 2020)

Improving Neural Language Processing with Named Entities. - Kyoumoto Matsushita; Takuya Makino; Tomoya Iwakura (RANLP, 2021)

Contextualized Scene Knowledge Graphs for XAI Benchmarking. - Takahiro Kawamura; Shusaku Egami; Kyoumoto Matsushita; Takanori Ugai; Ken Fukuda; Kouji Kozaki (IJCKG, 2022)

Datasets of Mystery Stories for Knowledge Graph Reasoning Challenge. - Kouji Kozaki; Shusaku Egami; Kyoumoto Matsushita; Takanori Ugai; Takahiro Kawamura; Ken Fukuda (ESWC Workshops, 2023)

RDF-star2Vec: RDF-star Graph Embeddings for Data Mining. - Shusaku Egami; Takanori Ugai; Masateru Oota; Kyoumoto Matsushita; Takahiro Kawamura; Kouji Kozaki; Ken Fukuda (IEEE Access, 2023)

Zero-Shot Query Experiments in Knowledge Graph Reasoning Challenge for Older Adults Safety. - Ken Fukuda; Takanori Ugai; Shusaku Egami; Kyoumoto Matsushita (ICSC, 2024)

Comparison of Metadata Representation Models for Knowledge Graph Embeddings. - Shusaku Egami; Kyoumoto Matsushita; Takanori Ugai; Ken Fukuda (CoRR, 2025)