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Noriki Nishida

ACL 2026×2社会与人本效率与系统评测与基准多模态数据与预训练
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0 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #2/4ACL 2026Findings· Findings of ACL

Applicability Condition Extraction for Therapeutic Drug-Disease Relations

Guanting Luo · Noriki Nishida · Yuji Matsumoto · Yuki Arase

摘要

Identifying conditions that a certain drug takes therapeutic effect on a target disease is crucial for clinical decision-making support. However, most existing biomedical information extraction methods have focused on identifying only relations between drugs and diseases, while largely overlookin...

社会与人本效率与系统评测与基准OpenReview 项目页
作者位次 #3/5ACL 2026Findings· Findings of ACL

J -Shuwa: A Large-Scale Web-Collected J apanese S ign L anguage- J apanese Parallel Corpus

Junwen Mo · MinhDuc Vo · Noriki Nishida · Shin’ichi Satoh · Hideki Nakayama

摘要

Japanese Sign Language (JSL) is a low-resource sign language that has received limited attention in the AI research community, primarily due to the lack of large-scale, publicly available parallel corpora. In this work, we introduce J-Shuwa, a large-scale JSL-Japanese parallel corpus constructed...

多模态数据与预训练多语言与语言学OpenReview 项目页

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