🧑‍🔬 Yi-Chung Lin

🏛️ Affiliations

🎓Australian Catholic UniversityNorth Sydney · Australia2022–2025 · 7 papersEmployment since 2022 · Postdoctoral Research Fellow, School of Behavioural and Health Sciencescurrent🎓University of Wisconsin–MadisonMadison · United States2025 · 1 papercurrent🎓The University of MelbourneMelbourne · Australia2009–2023 · 36 papersEmployment 2009–2022 · Postdoctoral Research Fellow, Mechanical Engineering🎓National Tsing Hua UniversityHsinchu · Taiwan1992–2022 · 9 papers🎓University of FloridaGainesville · United States2002–2010 · 7 papersEducation 2002–2004 · MS, Mechanical EngineeringEducation 2004–2008 · PhD, Mechanical Engineering🤝Industrial Technology Research InstituteHsinchu · Taiwan1999–2002 · 5 papers🔬Institute of Information Science, Academia SinicaTaipei · Taiwan2017–2021 · 4 papers🎓Tamkang UniversityTaipei · Taiwan2019–2021 · 3 papers🔬Academia SinicaTaipei · Taiwan2017–2018 · 3 papers🎓National Taiwan UniversityTaipei · Taiwan1991–1993 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 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.

📅 Works by year

2020s

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. A Meaning-based English Math Word Problem Solver with Understanding, Reasoning and Explanation (2016 · 18 citations)
   The paper presents a demonstration system for English arithmetic word problems. It aims to understand the problem text rather than match surface patterns. Stanford CoreNLP produces dependency trees and coreference chains. A linear-kernel SVM then predicts a solution type for each question. A converter turns the parse…
2. How Fast can BERT Learn Simple Natural Language Inference? (2021 · 10 citations)
   Lin and Su ask whether BERT can learn natural language inference once every dataset shortcut is removed, and how much data it then needs.

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. A Meaning-Based Statistical English Math Word Problem Solver ↗Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · no summary yetChao-Chun Liang et al.2018 · 36 citations
2. A Meaning-based English Math Word Problem Solver with Understanding, Reasoning and ExplanationInternational Conference on Computational Linguistics (COLING)Chao-Chun Liang, Shih-Hong Tsai, Ting-Yun Chang, et al.2016 · 18 citations
3. How Fast can BERT Learn Simple Natural Language Inference?Conference of the European Chapter of the Association for Computational Linguistics (EACL)Yi-Chung Lin, Keh-Yih Su2021 · 10 citations

🤝 Co-authors here

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

• Keh-Yih Su ×2

Venues

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

• International Conference on Computational Linguistics (COLING): COLING 2016
• Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2021
• Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)

🔗 Cited by

Papers of our library cite their works 22 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated 30 October 2026

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