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Stephen Wan

Stephen Wan has 2 papers in our library, in 2024–2026, most of them on Discourse analysis, Evaluation & benchmarks; often with Michael Strube, Wei Liu.

2 papers in our library · 2024–2026

OpenAlex · ORCID · Wikidata · h-index 18 · 99 works · 1,688 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 61 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #9569

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏛️Commonwealth Scientific and Industrial Research OrganisationCanberra · Australia2000–2026 · 73 paperscurrent🔬Data61Sydney · Australia2015–2026 · 27 paperscurrent🎓University of Technology SydneySydney · Australia2026 · 2 paperscurrent🎓Macquarie UniversitySydney · Australia1998–2021 · 14 papers🔬Information and Communication Technologies CentreSydney · Australia2006–2021 · 13 papers
🏛️CSIRO Data61Sydney · Australia2010Employment since 2010 · Research Team Leader/Senior Research Scientist, Data61

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 9The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArts and Humanities · 1 workArtificial Intelligence · 2 worksLanguage and Linguistics · 1 workPhilosophy · 1 workDecision Sciences · 1 workInformation Systems and Management · 1 workMaterials Chemistry · 1 workMaterials Science · 1 work

🧭 Topics 2Research subjects and languages the work is about.Discourse analysis · 1 workEvaluation & benchmarks · 1 work

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. What Causes the Failure of Explicit to Implicit Discourse Relation Recognition? (2024 · 12 citations)
    Classifiers for implicit discourse relations are often trained on explicit examples with their connectives removed, but they do poorly on genuine implicit data.
  2. MetaLead: A Comprehensive Human-Curated Leaderboard Dataset for Transparent Reporting of Machine Learning Experiments (2026 · 2 citations)
    Leaderboards are the standard way to compare machine learning models, but curating them by hand is costly.

All works

4 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. Using Dependency-Based Features to Take the ‘Para-farce' out of Paraphrase ↗Proceedings of the Australasian Language Technology Workshop 2006 · no summary yetStephen Wan et al.2006 · 186 citations
  2. Towards Statistical Paraphrase Generation: Preliminary Evaluations of Grammaticality ↗Proceedings of the Third International Workshop on Paraphrasing (IWP2005) · no summary yetStephen Wan et al.2005 · 13 citations
  3. What Causes the Failure of Explicit to Implicit Discourse Relation Recognition?Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)Wei Liu, Stephen Wan, Michael Strube2024 · 12 citations
  4. MetaLead: A Comprehensive Human-Curated Leaderboard Dataset for Transparent Reporting of Machine Learning ExperimentsConference of the European Chapter of the Association for Computational Linguistics (EACL)Roelien C. Timmer, Necva Bölücü, Stephen Wan2026 · 2 citations

 Co-authors here

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

Venues

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

 Cited by

Papers of our library cite their works 61 times (of the 149,439 papers whose bibliographies we read); 14 citing papers with a page here →.

Updated

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