| Evaluating entity linking with wikipedia B Hachey, W Radford, J Nothman, M Honnibal, JR Curran Artificial intelligence 194, 130-150, 2013 | 384 | 2013 |
| Extractive summarisation of legal texts B Hachey, C Grover Artificial Intelligence and Law 14, 305-345, 2006 | 185 | 2006 |
| Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study JCY Seah, CHM Tang, QD Buchlak, XG Holt, JB Wardman, A Aimoldin, ... The Lancet Digital Health 3 (8), e496-e506, 2021 | 166 | 2021 |
| Clpsych 2016 shared task: Triaging content in online peer-support forums DN Milne, G Pink, B Hachey, RA Calvo Proceedings of the third workshop on computational linguistics and clinical …, 2016 | 136 | 2016 |
| Overview of tac-kbp2014 entity discovery and linking tasks H Ji, J Nothman, B Hachey Proc. Text Analysis Conference (TAC2014), 1333-1339, 2014 | 136 | 2014 |
| Overview of TAC-KBP2015 Tri-lingual Entity Discovery and Linking. H Ji, J Nothman, B Hachey, R Florian TAC, 2015 | 120 | 2015 |
| Learning to generate one-sentence biographies from wikidata A Chisholm, W Radford, B Hachey Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 115 | 2017 |
| Entity disambiguation with web links A Chisholm, B Hachey Transactions of the Association for Computational Linguistics 3, 145-156, 2015 | 101 | 2015 |
| Graph-based named entity linking with wikipedia B Hachey, W Radford, JR Curran Web Information System Engineering–WISE 2011: 12th International Conference …, 2011 | 96 | 2011 |
| An effective transition-based model for discontinuous NER X Dai, S Karimi, B Hachey, C Paris Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 80 | 2020 |
| Investigating the effects of selective sampling on the annotation task B Hachey, B Alex, M Becker Proceedings of the Ninth Conference on Computational Natural Language …, 2005 | 79 | 2005 |
| Automatic summarisation of legal documents C Grover, B Hachey, I Hughson, C Korycinski Proceedings of the 9th international conference on Artificial intelligence …, 2003 | 70 | 2003 |
| NNE: A dataset for nested named entity recognition in English newswire N Ringland, X Dai, B Hachey, S Karimi, C Paris, JR Curran arXiv preprint arXiv:1906.01359, 2019 | 65 | 2019 |
| Using similarity measures to select pretraining data for NER X Dai, S Karimi, B Hachey, C Paris arXiv preprint arXiv:1904.00585, 2019 | 61 | 2019 |
| Optimising selective sampling for bootstrapping named entity recognition M Becker, B Hachey, B Alex, C Grover ICML-2005 Workshop on Learning with Multiple Views, 5-11, 2005 | 58 | 2005 |
| Summarising legal texts: Sentential tense and argumentative roles C Grover, B Hachey, C Korycinski Proceedings of the HLT-NAACL 03 Text Summarization Workshop, 33-40, 2003 | 55 | 2003 |
| Automatic legal text summarisation: experiments with summary structuring B Hachey, C Grover Proceedings of the 10th International Conference on Artificial intelligence …, 2005 | 54 | 2005 |
| A rhetorical status classifier for legal text summarisation B Hachey, C Grover Text summarization branches out, 35-42, 2004 | 50 | 2004 |
| The HOLJ Corpus. Supporting summarisation of legal texts C Grover, B Hachey, I Hughson Proceedings of the 5th International Workshop on Linguistically Interpreted …, 2004 | 48 | 2004 |
| Cost-effective selection of pretraining data: A case study of pretraining BERT on social media X Dai, S Karimi, B Hachey, C Paris arXiv preprint arXiv:2010.01150, 2020 | 46 | 2020 |
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