--- title: "Xiang Dai — author profile and papers · Named entity recognition" description: "Xiang Dai, Commonwealth Scientific and Industrial Research Organisation: 2 papers on Elamur Research (2019–2020), h-index 17…" canonical: "https://research.elamur.ai/free/en/authors/xiang-dai/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xiang-dai/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xiang Dai # Xiang Dai Xiang Dai has 2 papers in our library, in 2019–2020, most of them on [Named entity recognition](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/), [English](https://md.research.elamur.ai/free/en/topics/english/); often with [Ben Hachey](https://md.research.elamur.ai/free/en/authors/ben-hachey/), [Cecile Paris](https://md.research.elamur.ai/free/en/authors/cecile-paris/), [Heike Adel](https://md.research.elamur.ai/free/en/authors/heike-adel/). 2 papers in our library · 2019–2020 [OpenAlex](https://openalex.org/A5101585101) · [ORCID](https://orcid.org/0000-0002-6020-9688) · [**h-index 17**](https://openalex.org/authors/A5101585101) · [150 works](https://openalex.org/works?filter=author.id:A5101585101) · [1,169 citations](https://openalex.org/works?filter=author.id:A5101585101&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xiang-dai/#papers) · [🔗 Cited 168 times in our library](https://md.research.elamur.ai/free/en/authors/xiang-dai/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5155](https://md.research.elamur.ai/free/en/paper-stars/page/52/#star-5155) 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=Xiang+Dai) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xiang+Dai) · [dblp](https://dblp.org/search?q=Xiang+Dai) · [ACL Anthology](https://aclanthology.org/search/?q=Xiang+Dai) ## Affiliations [🏛️**Commonwealth Scientific and Industrial Research Organisation** Canberra · Australia 2017–2026 · 32 papersEmployment 2021–2023 · Postdoc, Data61Employment since 2023 · Research Scientist, Data61*current*](https://md.research.elamur.ai/free/en/government/commonwealth-scientific-and-industrial-research-organisation/) · [🔬**Data61** Sydney · Australia 2017–2026 · 23 papers*current*](https://md.research.elamur.ai/free/en/labs/data61/) · [🎓**Chengdu University of Information Technology** Chengdu · China 2025–2026 · 3 papers*current*](https://ror.org/01yxwrh59) · [🎓**Hohai University** Nanjing · China 2025–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/hohai-university/) · [🏛️**Xinjiang Uygur Autonomous Region Disease Prevention and Control Center** Ürümqi · China 2006–2020 · 12 papers](https://ror.org/00tt3wc55) · [🎓**Anhui University of Finance and Economics** Bengbu · China 2006–2013 · 11 papers](https://ror.org/0152zzg30) · [🎓**The University of Sydney** Sydney · Australia 2015–2021 · 10 papersEducation 2015–2017 · Master, School of Computer ScienceEducation 2017–2021 · PhD, School of Computer Science](https://md.research.elamur.ai/free/en/universities/the-university-of-sydney/) · [🎓**Nanjing Agricultural University** Nanjing · China 2022 · 8 papers](https://ror.org/05td3s095) · [🎓**Nanjing Audit University** Nanjing · China 2018–2025 · 6 papers](https://ror.org/04zj2bd87) · [🎓**Nanjing University** Nanjing · China 2011–2025 · 5 papers](https://md.research.elamur.ai/free/en/universities/nanjing-university/) 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 6 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/) · [Biochemistry, Genetics and Molecular Biology · 2 works](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [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/) · [Molecular Biology · 2 works](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/) 🧭 Topics 2 Research subjects and languages the work is about.[Named entity recognition · 2 works](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) · [English · 1 work](https://md.research.elamur.ai/free/en/topics/english/) ## Works by year ### 2020s [**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/xiang-dai/year/2020/) ### 2010s [**2019** 1 paper](https://md.research.elamur.ai/free/en/authors/xiang-dai/year/2019/) ## Papers The most cited first (OpenAlex and our library). 1. **[An Analysis of Simple Data Augmentation for Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/dai-2020-analysis-simple-data-augmentation-named/)** *(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](https://md.research.elamur.ai/free/en/papers/ringland-2019-nne-dataset-nested-named-entity/)** *(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 Recognition](https://md.research.elamur.ai/free/en/papers/dai-2020-analysis-simple-data-augmentation-named/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Xiang Dai, Heike Adel*2020 · 266 citations* 2. **[An Effective Transition-based Model for Discontinuous NER ↗](https://aclanthology.org/2020.acl-main.520/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Xiang Dai et al.*2020 · 102 citations* 3. **[Revisiting Transformer-based Models for Long Document Classification ↗](https://aclanthology.org/2022.findings-emnlp.534/) Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yet**Xiang Dai et al.*2022 · 93 citations* 4. **[NNE: A Dataset for Nested Named Entity Recognition in English Newswire](https://md.research.elamur.ai/free/en/papers/ringland-2019-nne-dataset-nested-named-entity/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/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. - [Ben Hachey](https://md.research.elamur.ai/free/en/authors/ben-hachey/) - [Cecile Paris](https://md.research.elamur.ai/free/en/authors/cecile-paris/) - [Heike Adel](https://md.research.elamur.ai/free/en/authors/heike-adel/) - [James R. Curran](https://md.research.elamur.ai/free/en/authors/james-r-curran/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2019](https://md.research.elamur.ai/free/en/venues/acl/2019/) - [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2020](https://md.research.elamur.ai/free/en/venues/coling/2020/) - Findings of the Association for Computational Linguistics: EMNLP 2022 ## Cited by Papers of our library cite their works 168 times (of the 149,439 papers whose bibliographies we read); [13 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xiang-dai/cited-by/). Updated 1 November 2026