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Nobuhiro Ueda
Observed name:
Ueda, Nobuhiro
Institutions:
NEC (Japan),
Kyoto University
Observed institutions:
NEC (Japan),
Kyoto University,
RIKEN
OpenAlex ID:
A5047419744
BERT-based Cohesion Analysis of Japanese Texts
2020
·
Nobuhiro Ueda
, Daisuke Kawahara
, et al.
·
International Conference on Computational Linguistics
·
11
KWJA: A Unified Japanese Analyzer Based on Foundation Models
2023
·
Nobuhiro Ueda
, Kazumasa Omura
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
·
5
PDF
A System for Worldwide COVID-19 Information Aggregation
2020
·
Akiko Aizawa
, Frederic Bergeron
, et al.
·
Workshop on NLP for COVID-19 (NLP-COVID19)
·
5
PDF
J-CRe3: A Japanese Conversation Dataset for Real-world Reference Resolution
2024
·
Nobuhiro Ueda
, Hideko Habe
, et al.
·
Journal of Natural Language Processing
·
4
PDF
SCAN: Semantic Document Layout Analysis for Textual and Visual Retrieval-Augmented Generation
2026
·
Nobuhiro Ueda
, Yuyang Dong
, et al.
·
Findings of the Association for Computational Linguistics: EACL
·
1
Rapidly Developing High-quality Instruction Data and Evaluation Benchmark for Large Language Models with Minimal Human Effort: A Case Study on Japanese
2024
·
Yikun Sun
, Zhen Wan
, et al.
·
Language Resources and Evaluation Conference (LREC)
·
1
PDF
BERT-based Cohesion Analysis of Japanese Texts
2021
·
Nobuhiro Ueda
·
Journal of Natural Language Processing
·
1
PDF
SCAN: Semantic Document Layout Analysis for Textual and Visual Retrieval-Augmented Generation
2026
·
Association for Computational Linguistics 2026
, Boros, Krisztián
, et al.
·
Underline Science Inc.
Joint Modeling of Textual and Multimodal Reference Relations in Visually Grounded Dialogues
2026
·
Shun Inadumi
, Nobuhiro Ueda
, et al.
·
Journal of Natural Language Processing
PDF
Disambiguating Reference in Visually Grounded Dialogues through Joint Modeling of Textual and Multimodal Semantic Structures
2025
·
Shun Inadumi
, Nobuhiro Ueda
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
J-CRe3: A Japanese Conversation Dataset for Real-world Reference Resolution
2024
·
Nobuhiro Ueda
, Hideko Habe
, et al.
·
Language Resources and Evaluation Conference (LREC)
PDF
J-CRe3: A Japanese Conversation Dataset for Real-world Reference Resolution
2024
·
Ueda, Nobuhiro
, Habe, Hideko
, et al.
·
arXiv (Cornell University)
PDF
A System for Worldwide COVID-19 Information Aggregation
2020
·
Aizawa, Akiko
, Bergeron, Frederic
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
17
Citation count:
28
H-index:
4
I10-index:
1
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