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Kuniko Saito

Kuniko Saito has 2 papers in our library, in 2009–2026, most of them on Coreference resolution, Semantic role labeling, Language models & pretraining; often with Hiroaki Sugiyama, Kazutoshi Shinoda, Kyosuke Nishida.

2 papers in our library · 2009–2026

OpenAlex · ORCID · h-index 11 · 41 works · 359 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 83 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7206

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢NTTTokyo · Japan2002–2026 · 39 papersEmploymentcurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workDevelopmental and Educational Psychology · 1 workPsychology · 1 work

🧭 Topics 3Research subjects and languages the work is about.Coreference resolution · 1 workSemantic role labeling · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20261 paper

2000s

20091 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Discriminative Approach to Predicate-Argument Structure Analysis with Zero-Anaphora Resolution (2009 · 77 citations)
    Japanese sentences often leave arguments unexpressed as zero pronouns. Purely syntactic, sentence-level analysis therefore cannot recover full predicate-argument structures. The authors combine predicate-argument structure analysis and zero-anaphora resolution into a single supervised selection task. For each…
  2. Let's Put Ourselves in Sally's Shoes: Shoes-of-Others Prefilling Improves Theory of Mind in Large Language Models (2026)
    Large language models still trail humans on Theory of Mind (ToM), and fine-tuning on ToM data tends to hurt out-of-distribution generalization.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images ↗arXiv:2301.04883 · no summary yetRyota Tanaka et al.2023 · 116 citations
  2. Discriminative Approach to Predicate-Argument Structure Analysis with Zero-Anaphora ResolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Kenji Imamura, Kuniko Saito, Tomoko Izumi2009 · 77 citations
  3. Let's Put Ourselves in Sally's Shoes: Shoes-of-Others Prefilling Improves Theory of Mind in Large Language ModelsFindings of the Association for Computational LinguisticsKazutoshi Shinoda, Nobukatsu Hojo, Kyosuke Nishida, et al.2026

 Co-authors here

3 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 83 times (of the 149,439 papers whose bibliographies we read); 27 citing papers with a page here →.

Updated

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