---
title: "Tadachika Ozono — author profile and papers · English"
description: "Tadachika Ozono, Nagoya Institute of Technology: 2 papers on Elamur Research (2021–2024), h-index 9 — affiliations, topics, co-authors…"
canonical: "https://research.elamur.ai/free/en/authors/tadachika-ozono/"
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# Tadachika Ozono

Tadachika Ozono has 2 papers in our library, in 2021–2024, most of them on [English](https://md.research.elamur.ai/free/en/topics/english/); often with [Masato Kikuchi](https://md.research.elamur.ai/free/en/authors/masato-kikuchi/).

2 papers in our library · 2021–2024

[OpenAlex](https://openalex.org/A5025626453) · [ORCID](https://orcid.org/0000-0003-1568-8832) · [**h-index 9**](https://openalex.org/authors/A5025626453) · [204 works](https://openalex.org/works?filter=author.id:A5025626453) · [419 citations](https://openalex.org/works?filter=author.id:A5025626453&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/tadachika-ozono/#papers) · [🔗 Cited 2 times in our library](https://md.research.elamur.ai/free/en/authors/tadachika-ozono/cited-by/) · [⭐ Paper Stars ranking: #11005](https://md.research.elamur.ai/free/en/paper-stars/page/111/#star-11005)

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=Tadachika+Ozono) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Tadachika+Ozono) · [dblp](https://dblp.org/search?q=Tadachika+Ozono) · [ACL Anthology](https://aclanthology.org/search/?q=Tadachika+Ozono)

## Affiliations

[🎓**Nagoya Institute of Technology** Nagoya · Japan 2000–2026 · 138 papers*current*](https://md.research.elamur.ai/free/en/universities/nagoya-institute-of-technology/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 5 The field of science this work belongs to (OpenAlex fields).[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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [History and Philosophy of Science · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/history-and-philosophy-of-science/)

🧭 Topics 1 Research subjects and languages the work is about.[English · 2 works](https://md.research.elamur.ai/free/en/topics/english/)

## Works by year

### 2020s

[**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/tadachika-ozono/year/2024/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/authors/tadachika-ozono/year/2021/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Coarse-Grained Sense Inventories Based on Semantic Matching between English Dictionaries](https://md.research.elamur.ai/free/en/papers/kikuchi-2024-coarse-grained-sense-inventories-based/)** *(2024 · 2 citations)* WordNet splits word meanings so finely that even people often cannot tell its senses apart. This hurts word sense disambiguation (WSD) and makes WordNet hard to use in language teaching. The authors build coarser inventories automatically by aligning WordNet definitions with those of two Cambridge dictionaries: the…
2. **[Development of an Extractive Title Generation System Using Titles of Papers of Top Conferences for Intermediate English Students](https://md.research.elamur.ai/free/en/papers/kaku-2021-development-extractive-title-generation-system/)** *(2021 · 1 citation)* The paper targets students with intermediate or beginner English who find it hard to write good academic paper titles because they do not know what titles in their field usually look like. The authors build an extractive title generator that starts from a paper's abstract and runs in three stages:

## Co-authors here

1 co-author with a page, the most papers together first.

- [Masato Kikuchi](https://md.research.elamur.ai/free/en/authors/masato-kikuchi/) ×2

## Cited by

Papers of our library cite their works 2 times (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/tadachika-ozono/cited-by/).

Updated 1 November 2026
