--- title: "Noriki Nishida — author profile and papers · Discourse analysis" description: "Noriki Nishida, RIKEN: 4 papers on Elamur Research (2022–2026), h-index 7 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/noriki-nishida/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/noriki-nishida/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Noriki Nishida # Noriki Nishida Noriki Nishida has 4 papers in our library, in 2022–2026, most of them on [Discourse analysis](https://md.research.elamur.ai/free/en/topics/discourse-analysis/), [Dependency parsing](https://md.research.elamur.ai/free/en/topics/dependency-parsing/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/); often with [Yuji Matsumoto](https://md.research.elamur.ai/free/en/authors/yuji-matsumoto/), [Fei Cheng](https://md.research.elamur.ai/free/en/authors/fei-cheng/), [Yuki Arase](https://md.research.elamur.ai/free/en/authors/yuki-arase/). 4 papers in our library · 2022–2026 [OpenAlex](https://openalex.org/A5005456292) · [ORCID](https://orcid.org/0000-0002-5851-7681) · [**h-index 7**](https://openalex.org/authors/A5005456292) · [41 works](https://openalex.org/works?filter=author.id:A5005456292) · [189 citations](https://openalex.org/works?filter=author.id:A5005456292&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/noriki-nishida/#papers) · [🔗 Cited 22 times in our library](https://md.research.elamur.ai/free/en/authors/noriki-nishida/cited-by/) · [⭐ Paper Stars ranking: #8415](https://md.research.elamur.ai/free/en/paper-stars/page/85/#star-8415) 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=Noriki+Nishida) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Noriki+Nishida) · [dblp](https://dblp.org/search?q=Noriki+Nishida) · [ACL Anthology](https://aclanthology.org/search/?q=Noriki+Nishida) ## Affiliations [🔬**RIKEN** Wako · Japan 2020–2026 · 17 papersEmployment 2020–2026 · Research Scientist, AIP*current*](https://md.research.elamur.ai/free/en/labs/riken/) · [🔬**RIKEN Center for Advanced Intelligence Project** Tokyo · Japan 2020–2026 · 11 papers*current*](https://md.research.elamur.ai/free/en/labs/riken-center-for-advanced-intelligence-project/) · [🎓**The University of Tokyo** Tokyo · Japan 2016–2020 · 7 papersEducation · Ph.D., Department of Creative Informatics](https://md.research.elamur.ai/free/en/universities/the-university-of-tokyo/) · [🔬**National Institute of Advanced Industrial Science and Technology** Tsukuba · Japan 2026Employment since 2026 · Researcher, Artificial Intelligence Research Center](https://md.research.elamur.ai/free/en/labs/national-institute-of-advanced-industrial-science-and-technology/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 12 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Biochemistry, Genetics and Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Developmental and Educational Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/developmental-and-educational-psychology/) · [Human-Computer Interaction · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/human-computer-interaction/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) 🧭 Topics 3 Research subjects and languages the work is about.[Dependency parsing · 1 work](https://md.research.elamur.ai/free/en/topics/dependency-parsing/) · [Discourse analysis · 1 work](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/noriki-nishida/year/2026/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/noriki-nishida/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[Out-of-Domain Discourse Dependency Parsing via Bootstrapping: An Empirical Analysis on Its Effectiveness and Limitation](https://md.research.elamur.ai/free/en/papers/nishida-2022-out-domain-discourse-dependency-parsing/)** *(2022 · 31 citations)* Discourse dependency parsers trained on one annotated treebank lose much of their accuracy on text from a different domain, and labeled data for new domains is scarce and expensive. 2. **[Applicability Condition Extraction for Therapeutic Drug-Disease Relations](https://md.research.elamur.ai/free/en/papers/luo-2026-applicability-condition-extraction-therapeutic-drug/)** *(2026)* Most biomedical relation extraction work only asks whether a drug treats a disease. It ignores the circumstances that make the treatment work, such as dose, patient group or coexisting illness. Luo et al. define a new task: given a drug–disease pair from a PubMed abstract, find the text spans that state these… 3. **[Dissecting GraphRAG: A Modular Analysis of Knowledge Structuring for Factoid Question Answering](https://md.research.elamur.ai/free/en/papers/nishida-2026-dissecting-graphrag-modular-analysis-knowledge/)** *(2026)* GraphRAG systems build a knowledge graph from source texts and retrieve verbalized parts of it to ground LLM answers. However, it has been unclear which pipeline components actually drive performance, especially for factoid and multi-hop questions rather than corpus summarization. 4. **[J-Shuwa: A Large-Scale Web-Collected Japanese Sign Language-Japanese Parallel Corpus](https://md.research.elamur.ai/free/en/papers/mo-2026-j-shuwa-large-scale-web/)** *(2026)* Japanese Sign Language (JSL) has seen little AI research, mainly because no large public parallel corpora exist. ## Co-authors here 3 co-authors with a page, the most papers together first. - [Yuji Matsumoto](https://md.research.elamur.ai/free/en/authors/yuji-matsumoto/) ×3 - [Fei Cheng](https://md.research.elamur.ai/free/en/authors/fei-cheng/) - [Yuki Arase](https://md.research.elamur.ai/free/en/authors/yuki-arase/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 - [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/) ×2: [Transactions of the Association for Computational Linguistics (TACL) 2026](https://md.research.elamur.ai/free/en/venues/tacl/2026/), [Transactions of the Association for Computational Linguistics (TACL) 2022](https://md.research.elamur.ai/free/en/venues/tacl/2022/) ## Cited by Papers of our library cite their works 22 times (of the 149,439 papers whose bibliographies we read); [7 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/noriki-nishida/cited-by/). Updated 1 November 2026