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Hideaki Takeda

Hideaki Takeda has 2 papers in our library, in 2016–2017, most of them on Named entity recognition, Knowledge graphs & ontologies; often with Hiroyuki Shindo, Ikuya Yamada, Yoshiyasu Takefuji.

2 papers in our library · 2016–2017

OpenAlex · ORCID · Wikidata · h-index 26 · 438 works · 4,114 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 431 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #3644

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 17 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.

 Works by year

2010s

 Papers

The most cited first (OpenAlex and our library).

  1. Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation (2016 · 428 citations)
    Named Entity Disambiguation (NED) links ambiguous mentions in text, such as "Washington", to the correct entry in a knowledge base, here Wikipedia.
  2. Learning Distributed Representations of Texts and Entities from Knowledge Base (2017 · 125 citations)
    The paper presents Neural Text-Entity Encoder (NTEE), a model that places sentences or paragraphs and knowledge base entities in one shared vector space.

All works

5 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. LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetIkuya Yamada et al.2020 · 851 citations
  2. Wikipedia2Vec: An Efficient Toolkit for Learning and Visualizing the Embeddings of Words and Entities from Wikipedia ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations · no summary yetIkuya Yamada et al.2020 · 210 citations
  3. Connecting Rule-Based and Case-Based Representations of Soft-Constraint Norms ↗JURIX 2023 — Legal Knowledge and Information Systems (IOS Press, FAIA) · no summary yetWachara Fungwacharakorn et al.2023 · 2 citations

 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 431 times (of the 149,439 papers whose bibliographies we read); 27 citing papers with a page here →.

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