🧑‍🔬 Allan Hanbury

🏛️ Affiliations

🎓TU WienVienna · Austria2003–2026 · 277 papersEmployment since 2011 · Professor, Data Sciencecurrent🤝Complexity Science HubVienna · Austria2018–2024 · 20 papers🔬Centre de Morphologie Mathématique - CMMFontainebleau · France2001–2002 · 3 papers🎓HES-SO University of Applied Sciences and Arts Western SwitzerlandDelémont · Switzerland2012–2017 · 2 papers🎓École Nationale Supérieure des Mines de ParisParis · France2001–2002 · 2 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling (2021 · 425 citations)
   Dense retrievers such as the dual-encoder BERT DOT give fast first-stage search. Recent methods for training them cost a lot of compute: ANCE keeps refreshing a negative-sampling index, and RocketQA needs very large batches. Hofstätter et al. ask whether a strong dense retriever can be trained on modest hardware…
2. A Disaggregated Dataset on English Offensiveness Containing Spans (2025)
   Moderation systems usually learn from one majority-vote label per document. That hides how differently people judge harm, and it does not show which words caused a judgement. The authors address both problems by re-annotating 1,983 English Wikipedia comments from the Jigsaw Toxic Comment Classification Challenge.…

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. Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware SamplingInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Sebastian Hofstatter, Sheng-Chieh Lin, Jheng-Hong Yang, et al.2021 · 425 citations
2. An Efficient Algorithm for Calculating the Exact Hausdorff Distance ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetAbdel Aziz Taha, Allan Hanbury2015 · 412 citations
3. Detecting Risks in the Banking System by Sentiment Analysis ↗Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yetClemens Nopp, Allan Hanbury2015 · 65 citations
4. AustroTox: A Dataset for Target-Based Austrian German Offensive Language Detection ↗Findings of the Association for Computational Linguistics: ACL 2024 · no summary yetPia Pachinger et al.2024 · 7 citations
5. A Disaggregated Dataset on English Offensiveness Containing Spansedition of NLPerspectivesPia Pachinger, Janis Goldzycher, Anna M. Planitzer, et al.2025

🤝 Co-authors here

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

• Jimmy Lin
• Sebastian Hofstatter
• Sheng-Chieh Lin

Venues

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

• International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR): SIGIR 2021
• edition of NLPerspectives: edition of NLPerspectives 2025
• Findings of the Association for Computational Linguistics: ACL 2024
• IEEE Transactions on Pattern Analysis and Machine Intelligence
• Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing

🔗 Cited by

Papers of our library cite their works 142 times (of the 149,439 papers whose bibliographies we read); 28 citing papers with a page here →.

Updated 2 November 2026

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/allan-hanbury/