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Dingquan Wang

Dingquan Wang has 3 papers in our library, in 2016–2018, most of them on Universal Dependencies, Treebanks, English; often with Jason Eisner.

3 papers in our library · 2016–2018

OpenAlex · ORCID · h-index 9 · 36 works · 258 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 62 times in our library · ⭐ Paper Stars ranking: #6101

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

🎓University of ColomboColombo · Sri Lanka2025–2026 · 4 paperscurrent🎓Zhejiang Ocean UniversityZhoushan · China2020–2022 · 8 papers🎓Johns Hopkins UniversityBaltimore · United States2016–2019 · 8 papers🎓Columbia UniversityNew York · United States2014 · 3 papers

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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 worksDevelopmental and Educational Psychology · 1 workPsychology · 1 work

🧭 Topics 3Research subjects and languages the work is about.Universal Dependencies · 2 worksEnglish · 1 workTreebanks · 1 work

 Works by year

2010s

20181 paper20171 paper20161 paper

 Papers

The most cited first (OpenAlex and our library).

  1. The Galactic Dependencies Treebanks: Getting More Data by Synthesizing New Languages (2016 · 99 citations)
    Galactic Dependencies 1.0 is a set of synthetic languages in UD format. Each is made from a real UD treebank by permuting the order of the dependents of nouns and verbs, to match the word order of other real languages. Starting from 37 real treebanks, the set gives 53,428 languages in total. The authors check realism…
  2. Surface Statistics of an Unknown Language Indicate How to Parse It (2018 · 30 citations)
    The paper asks whether an unparsed corpus of gold POS-tag sequences holds enough information to parse a language that has no treebank.
  3. Fine-Grained Prediction of Syntactic Typology: Discovering Latent Structure with Supervised Learning (2017 · 28 citations)
    The paper asks whether the basic word-order profile of an unseen language can be inferred from only a corpus of POS tag sequences.

 Co-authors here

1 co-author 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 62 times (of the 149,439 papers whose bibliographies we read); 10 citing papers with a page here →.

Updated

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