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Xiang Dai

Xiang Dai has 2 papers in our library, in 2019–2020, most of them on Named entity recognition, English; often with Ben Hachey, Cecile Paris, Heike Adel.

2 papers in our library · 2019–2020

OpenAlex · ORCID · h-index 17 · 150 works · 1,169 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 168 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #4625

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 · Australia2017–2026 · 32 papersEmployment 2021–2023 · Postdoc, Data61Employment since 2023 · Research Scientist, Data61current🔬Data61Sydney · Australia2017–2026 · 23 paperscurrent🎓Chengdu University of Information TechnologyChengdu · China2025–2026 · 3 paperscurrent🎓Hohai UniversityNanjing · China2025–2026 · 3 paperscurrent🏛️Xinjiang Uygur Autonomous Region Disease Prevention and Control CenterÜrümqi · China2006–2020 · 12 papers🎓Anhui University of Finance and EconomicsBengbu · China2006–2013 · 11 papers🎓The University of SydneySydney · Australia2015–2021 · 10 papersEducation 2015–2017 · Master, School of Computer ScienceEducation 2017–2021 · PhD, School of Computer Science🎓Nanjing Agricultural UniversityNanjing · China2022 · 8 papers🎓Nanjing Audit UniversityNanjing · China2018–2025 · 6 papers🎓Nanjing UniversityNanjing · China2011–2025 · 5 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 22 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 · 2 worksArts and Humanities · 2 worksBiochemistry, Genetics and Molecular Biology · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksMolecular Biology · 2 works

🧭 Topics 2Research subjects and languages the work is about.Named entity recognition · 2 worksEnglish · 1 work

 Works by year

2020s

20201 paper

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. An Analysis of Simple Data Augmentation for Named Entity Recognition (2020 · 266 citations)
    Data augmentation is well studied for sentence-level NLP tasks, but it is harder to apply to named entity recognition (NER).
  2. NNE: A Dataset for Nested Named Entity Recognition in English Newswire (2019 · 87 citations)
    Most named entity recognizers produce only flat spans with coarse types. As a result, they miss what entities embedded inside other entities can tell us, such as a state inside a court's name or a job title inside a person mention. The authors address the shortage of large training data for nested NER by building…

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. An Analysis of Simple Data Augmentation for Named Entity RecognitionInternational Conference on Computational Linguistics (COLING)Xiang Dai, Heike Adel2020 · 266 citations
  2. An Effective Transition-based Model for Discontinuous NER ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetXiang Dai et al.2020 · 102 citations
  3. Revisiting Transformer-based Models for Long Document Classification ↗Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yetXiang Dai et al.2022 · 93 citations
  4. NNE: A Dataset for Nested Named Entity Recognition in English NewswireAnnual Meeting of the Association for Computational Linguistics (ACL)Nicky Ringland, Xiang Dai, Ben Hachey, et al.2019 · 87 citations

 Co-authors here

4 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 168 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

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