--- title: "Ikuya Yamada — author profile and papers — Elamur Research" description: "Ikuya Yamada: 2 papers on Elamur Research (2016–2019) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/ikuya-yamada/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/ikuya-yamada/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Ikuya Yamada # Ikuya Yamada Ikuya Yamada has 2 papers in our library, in 2016–2019, most of them on [Named entity recognition](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/); often with [Eric Wallace](https://md.research.elamur.ai/free/en/authors/eric-wallace/), [Hiroyuki Shindo](https://md.research.elamur.ai/free/en/authors/hiroyuki-shindo/), [Jordan Boyd-Graber](https://md.research.elamur.ai/free/en/authors/jordan-boyd-graber/). 2 papers in our library · 2016–2019 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/ikuya-yamada/#papers) · [🔗 Cited 148 times in our library](https://md.research.elamur.ai/free/en/authors/ikuya-yamada/cited-by/) · [⭐ Paper Stars ranking: #3032](https://md.research.elamur.ai/free/en/paper-stars/page/31/#star-3032) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Ikuya+Yamada) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ikuya+Yamada) · [dblp](https://dblp.org/search?q=Ikuya+Yamada) · [ACL Anthology](https://aclanthology.org/search/?q=Ikuya+Yamada) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Management Science and Operations Research · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/) 🧭 Topics 2 Research subjects and languages the work is about.[Named entity recognition · 1 work](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Named entity recognition · 1 work](https://md.research.elamur.ai/free/en/concepts/named-entity-recognition/) ## Works by year ### 2010s [**2019** 1 paper Ikuya Yamada's papers of 2019](https://md.research.elamur.ai/free/en/papers/wallace-2019-trick-me-if-you-can/) · [**2016** 1 paper Ikuya Yamada's papers of 2016](https://md.research.elamur.ai/free/en/papers/yamada-2016-joint-learning-embedding-words-entities/) ## Papers The most cited first (OpenAlex and our library). 1. **[Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation](https://md.research.elamur.ai/free/en/papers/yamada-2016-joint-learning-embedding-words-entities/)** *(2016 · 427 citations)* Named Entity Disambiguation (NED) links ambiguous mentions in text, such as "Washington", to the correct entry in a knowledge base, here Wikipedia. 2. **[Trick Me If You Can: Human-in-the-Loop Generation of Adversarial Examples for Question Answering](https://md.research.elamur.ai/free/en/papers/wallace-2019-trick-me-if-you-can/)** *(2019 · 182 citations)* Automatic adversarial attacks in NLP usually apply narrow, meaning-preserving tweaks such as typos, word swaps, or distractor sentences. ## Co-authors here 5 co-authors with a page, the most papers together first. - [Eric Wallace](https://md.research.elamur.ai/free/en/authors/eric-wallace/) - [Hiroyuki Shindo](https://md.research.elamur.ai/free/en/authors/hiroyuki-shindo/) - [Jordan Boyd-Graber](https://md.research.elamur.ai/free/en/authors/jordan-boyd-graber/) - [Pedro Rodriguez](https://md.research.elamur.ai/free/en/authors/pedro-rodriguez/) - [Shi Feng](https://md.research.elamur.ai/free/en/authors/shi-feng/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/): [CoNLL 2016](https://md.research.elamur.ai/free/en/venues/conll/2016/) - [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/): [Transactions of the Association for Computational Linguistics (TACL) 2019](https://md.research.elamur.ai/free/en/venues/tacl/2019/) ## Cited by Papers of our library cite their works 148 times (of the 141,840 papers whose bibliographies we read); [4 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/ikuya-yamada/cited-by/). Updated 24 October 2026