---
title: "Shu-Kai Hsieh — author profile and papers — Elamur Research"
description: "Shu-Kai Hsieh, National Taiwan University: 2 papers on Elamur Research (2026), h-index 11 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/shu-kai-hsieh/"
---
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# Shu-Kai Hsieh

Shu-Kai Hsieh has 2 papers in our library, in 2026, most of them on [Word sense disambiguation](https://md.research.elamur.ai/free/en/topics/word-sense-disambiguation/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Idioms & multiword expressions](https://md.research.elamur.ai/free/en/topics/multiword-expressions/); often with [Lang-Ching Yeh](https://md.research.elamur.ai/free/en/authors/lang-ching-yeh/), [Yu-Chieh Wang](https://md.research.elamur.ai/free/en/authors/yu-chieh-wang/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5059604503) · [ORCID](https://orcid.org/0000-0001-9674-1249) · [Wikidata](https://www.wikidata.org/wiki/Q58167114) · [**h-index 11**](https://openalex.org/authors/A5059604503) · [139 works](https://openalex.org/works?filter=author.id:A5059604503) · [425 citations](https://openalex.org/works?filter=author.id:A5059604503&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/shu-kai-hsieh/#papers) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #13911](https://md.research.elamur.ai/free/en/paper-stars/page/140/#star-13911)

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=Shu-Kai+Hsieh) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shu-Kai+Hsieh) · [dblp](https://dblp.org/search?q=Shu-Kai+Hsieh) · [ACL Anthology](https://aclanthology.org/search/?q=Shu-Kai+Hsieh)

## Affiliations

[🎓**National Taiwan University** Taipei · Taiwan 2010–2026 · 59 papers*current*](https://md.research.elamur.ai/free/en/universities/national-taiwan-university/) · [🎓**National Taiwan Normal University** Taipei · Taiwan 2007–2019 · 17 papers](https://md.research.elamur.ai/free/en/universities/national-taiwan-normal-university/) · [🔬**Academia Sinica** Taipei · Taiwan 2006–2018 · 6 papers](https://md.research.elamur.ai/free/en/labs/academia-sinica/) · [🎓**National Ilan University** Yilan · Taiwan 2007–2008 · 2 papers](https://ror.org/01npf0s58)

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).[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/) · [Literature and Literary Theory · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/literature-and-literary-theory/)

🧭 Topics 3 Research subjects and languages the work is about.[Idioms & multiword expressions · 1 work](https://md.research.elamur.ai/free/en/topics/multiword-expressions/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Word sense disambiguation · 1 work](https://md.research.elamur.ai/free/en/topics/word-sense-disambiguation/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/shu-kai-hsieh/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Capturing Ancient Chinese Sense Induction with Automatic Pipelines](https://md.research.elamur.ai/free/en/papers/tseng-2026-capturing-ancient-chinese-sense-induction/)** *(2026)* Computational resources that trace how word meanings evolve are scarce for Ancient Chinese, a gap this paper addresses.
2. **[Lexical Familiarity Predicts Processing Depth for Nonliteral Language in Large Language Models](https://md.research.elamur.ai/free/en/papers/yeh-2026-lexical-familiarity-predicts-processing-depth/)** *(2026)* The paper asks whether large language models handle different kinds of nonliteral language at different depths, and what principle governs this.

## All works

3 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. **[Capturing Ancient Chinese Sense Induction with Automatic Pipelines](https://md.research.elamur.ai/free/en/papers/tseng-2026-capturing-ancient-chinese-sense-induction/) [Workshop on Language Technologies for Historical and Ancient Languages @ LREC](https://md.research.elamur.ai/free/en/venues/lt4hala/)**Guan-Yu Tseng, Chunki Lim, Chih-Han Lin, et al.*2026*
2. **[Lexical Familiarity Predicts Processing Depth for Nonliteral Language in Large Language Models](https://md.research.elamur.ai/free/en/papers/yeh-2026-lexical-familiarity-predicts-processing-depth/) [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/)**Lang-Ching Yeh, Yu-Chieh Wang, Shu-Kai Hsieh*2026*
3. **[Towards an Automatic Measurement of Verbal Lexicon Acquisition: The Case for a Young Children-versus-Adults Classification in French and Mandarin ↗](https://aclanthology.org/Y10-1093/) Proceedings of the 24th Pacific Asia Conference on Language, Information and Computation · no summary yet**Yann Desalle et al.*2010*

## Co-authors here

2 co-authors with a page, the most papers together first.

- [Lang-Ching Yeh](https://md.research.elamur.ai/free/en/authors/lang-ching-yeh/) ×2
- [Yu-Chieh Wang](https://md.research.elamur.ai/free/en/authors/yu-chieh-wang/) ×2

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Workshop on Language Technologies for Historical and Ancient Languages @ LREC](https://md.research.elamur.ai/free/en/venues/lt4hala/): [Workshop on Language Technologies for Historical and Ancient Languages @ LREC 2026](https://md.research.elamur.ai/free/en/venues/lt4hala/2026/)
- [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/): [Workshop on Trustworthy NLP 2026](https://md.research.elamur.ai/free/en/venues/trustnlp/2026/)
- Proceedings of the 24th Pacific Asia Conference on Language, Information and Computation

Updated 2 November 2026
