🧑‍🔬 Ben Hachey

🏛️ Affiliations

🎓The University of SydneySydney · Australia2009–2026 · 23 papersEmployment 2013–2016 · ARC DECRA Researcher, School of Information TechnologiesEmployment since 2023 · Associate Professor of Clinical Informatics and Data Science, School of Medical Sciencescurrent🎓University of EdinburghEdinburgh · United Kingdom2001–2009 · 11 papersEducation 2001–2002 · MSc in Speech and Language Processing, School of Philosophy, Psychology & Language SciencesEducation 2004–2008 · PhD in Informatics, School of InformaticsEmployment 2002–2004 · Research Associate, Human Communication Research CentreEmployment 2003–2007 · Teaching Assistant, School of Informatics🎓Macquarie UniversitySydney · Australia2008–2011 · 6 papersEmployment 2008–2011 · Research Fellow, Department of Computing🤝RoZetta InstituteSydney · Australia2009–2012 · 5 papers🏢Digital Health Cooperative Research CentreSydney · Australia2018–2024 · 2 papersEmployment 2018–2019 · Head of Data Science Innovation🏛️Commonwealth Scientific and Industrial Research OrganisationCanberra · Australia2019 · 2 papers🎓Newcastle Australia Institute of Higher EducationSingapore · Singapore2016–2017 · 2 papers🏢Thomson ReutersNew York · United States2012 · 2 papersEmployment

🏛️Harrison AISydney · Australia2019–2022Employment 2019–2022 · Head of Applied AI

🏛️Ergo AISydney · Australia2018Employment since 2018 · Applied AI consultant

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 11 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

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Entity Disambiguation with Web Links (2015 · 92 citations)
   Entity disambiguation systems usually depend on Wikipedia's curated structure: redirects, article text, inter-article links and categories.
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

5 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 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
2. Entity Disambiguation with Web LinksTransactions of the Association for Computational Linguistics (TACL)Andrew Chisholm, Ben Hachey2015 · 92 citations
3. 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
4. Summarising Legal Texts: Sentential Tense and Argumentative Roles ↗Proceedings of the HLT-NAACL 03 Text Summarization Workshop · no summary yetClaire Grover, Ben Hachey, Chris Korycinski2003 · 42 citations
5. A Rhetorical Status Classifier for Legal Text Summarisation ↗Text Summarization Branches Out · no summary yetBen Hachey, Claire Grover2004 · 30 citations

🤝 Co-authors here

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

• Cecile Paris
• James R. Curran
• Xiang Dai

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) ×2: ACL 2019
• Transactions of the Association for Computational Linguistics (TACL): Transactions of the Association for Computational Linguistics (TACL) 2015
• Proceedings of the HLT-NAACL 03 Text Summarization Workshop
• Text Summarization Branches Out

🔗 Cited by

Papers of our library cite their works 84 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

Updated 1 November 2026

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