Evaluating entity linking with wikipedia B Hachey, W Radford, J Nothman, M Honnibal, JR Curran Artificial intelligence 194, 130-150, 2013 | 378 | 2013 |
Extractive summarisation of legal texts B Hachey, C Grover Artificial Intelligence and Law 14, 305-345, 2006 | 174 | 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 | 145 | 2021 |
Overview of tac-kbp2014 entity discovery and linking tasks H Ji, J Nothman, B Hachey Proc. Text Analysis Conference (TAC2014), 1333-1339, 2014 | 134 | 2014 |
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 | 123 | 2016 |
Overview of TAC-KBP2015 Tri-lingual Entity Discovery and Linking. H Ji, J Nothman, B Hachey, R Florian TAC, 2015 | 117 | 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 | 109 | 2017 |
Entity disambiguation with web links A Chisholm, B Hachey Transactions of the Association for Computational Linguistics 3, 145-156, 2015 | 100 | 2015 |
Graph-based named entity linking with wikipedia B Hachey, W Radford, JR Curran Web Information System Engineering–WISE 2011: 12th International Conference …, 2011 | 94 | 2011 |
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 |
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 | 72 | 2020 |
Automatic summarisation of legal documents C Grover, B Hachey, I Hughson, C Korycinski Proceedings of the 9th international conference on Artificial intelligence …, 2003 | 67 | 2003 |
Using similarity measures to select pretraining data for NER X Dai, S Karimi, B Hachey, C Paris arXiv preprint arXiv:1904.00585, 2019 | 60 | 2019 |
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 | 59 | 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 | 54 | 2003 |
Automatic legal text summarisation: experiments with summary structuring B Hachey, C Grover Proceedings of the 10th International Conference on Artificial intelligence …, 2005 | 52 | 2005 |
A rhetorical status classifier for legal text summarisation B Hachey, C Grover Text summarization branches out, 35-42, 2004 | 49 | 2004 |
The Embra system at DUC 2005: Query-oriented multi-document summarization with a very large latent semantic space B Hachey, G Murray, D Reitter Document Understanding Conference (DUC) 2005, Vancouver, BC, Canada, 2005 | 43 | 2005 |
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 | 42 | 2020 |