---
title: "Tatsuya Aoyama — papers and cards"
description: "Tatsuya Aoyama: 3 paper cards in the Research library (2023–2025), with what each paper is about, the ideas Mova took from it, and the co-authors."
canonical: "https://research.elamur.ai/free/en/authors/tatsuya-aoyama/"
---
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# Tatsuya Aoyama

3 paper cards in the Research library · 2023–2025

Tatsuya Aoyama wrote 3 of the papers Mova reads, in 2023–2025, most of them on [Discourse analysis](https://md.research.elamur.ai/free/en/topics/discourse-analysis/); often with [Amir Zeldes](https://md.research.elamur.ai/free/en/authors/amir-zeldes/), [Yang Janet Liu](https://md.research.elamur.ai/free/en/authors/yang-janet-liu/), [Jessica Lin](https://md.research.elamur.ai/free/en/authors/jessica-lin/).

[OpenAlex](https://openalex.org/A5002067983) · [**h-index 3**](https://openalex.org/authors/A5002067983) · [22 citations](https://openalex.org/authors/A5002067983) · [13 works](https://openalex.org/works?filter=author.id:A5002067983) — openalex-snapshot, 2026-10-14

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=Tatsuya+Aoyama) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Tatsuya+Aoyama) · [dblp](https://dblp.org/search?q=Tatsuya+Aoyama) · [ACL Anthology](https://aclanthology.org/search/?q=Tatsuya+Aoyama) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Tatsuya+Aoyama)

Topics: [Discourse analysis](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) 2

## Papers

1. **[eRST: A Signaled Graph Theory of Discourse Relations and Organization](https://md.research.elamur.ai/free/en/papers/zeldes-2025-erst-signaled-graph-theory-discourse/)** *(2025)* Enhanced RST keeps the RST tree (projective, nucleus/satellite, one label per edge, over elementary discourse units) and adds two things.
2. **[GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains](https://md.research.elamur.ai/free/en/papers/liu-2024-gdtb-genre-diverse-data-english/)** *(2024)* PDTB, the only large English shallow-discourse corpus, is news from 1989 and not openly licensed. GDTB converts the GUM corpus (16 genres, 235 documents, 228K tokens) into PDTB v3 style, using GUM's eRST relations, their connective signals, gold UD syntax and coreference: explicit relations come from eRST relations…
3. **[GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluation](https://md.research.elamur.ai/free/en/papers/treebanks-2023-aoyama-gentle-genre-diverse-multilayer-challenge/)** *(2023)* GENTLE is a small English challenge corpus of about 17k tokens in eight unusual genres: dictionary entries, esports commentary, legal documents, medical notes, poetry, mathematical proofs, syllabuses and threat letters.

## Co-authors (12)

- [Amir Zeldes](https://md.research.elamur.ai/free/en/authors/amir-zeldes/) ×3
- [Yang Janet Liu](https://md.research.elamur.ai/free/en/authors/yang-janet-liu/) ×3
- [Jessica Lin](https://md.research.elamur.ai/free/en/authors/jessica-lin/) ×2
- [Luke Gessler](https://md.research.elamur.ai/free/en/authors/luke-gessler/) ×2
- [Shabnam Behzad](https://md.research.elamur.ai/free/en/authors/shabnam-behzad/) ×2
- [Siyao Peng](https://md.research.elamur.ai/free/en/authors/siyao-peng/) ×2
- [Yilun Zhu](https://md.research.elamur.ai/free/en/authors/yilun-zhu/) ×2
- [Debopam Das](https://md.research.elamur.ai/free/en/authors/debopam-das/)
- Devika Tiwari
- Lauren Elizabeth Levine
- [Lauren Levine](https://md.research.elamur.ai/free/en/authors/lauren-levine/)
- [Wesley Scivetti](https://md.research.elamur.ai/free/en/authors/wesley-scivetti/)

## More papers in the library (1)

Pages of the Research library: our summary, the ideas, references and who cites each.

- [Comparing Native and Learner Englishes Using a Large Pre-trained Language Model](https://md.research.elamur.ai/free/en/papers/aoyama-2022-comparing-native-learner-englishes-large/) — Tatsuya Aoyama · 2022