| Finding predominant word senses in untagged text D McCarthy, R Koeling, J Weeds, JA Carroll Proceedings of the 42nd Annual Meeting of the Association for Computational …, 2004 | 503 | 2004 |
| Characterising measures of lexical distributional similarity J Weeds, D Weir, D McCarthy COLING 2004: Proceedings of the 20th international conference on …, 2004 | 344 | 2004 |
| Co-occurrence retrieval: A flexible framework for lexical distributional similarity J Weeds, D Weir Computational Linguistics 31 (4), 439-475, 2005 | 232 | 2005 |
| Learning to distinguish hypernyms and co-hyponyms J Weeds, D Clarke, J Reffin, D Weir, B Keller Proceedings of COLING 2014, the 25th International Conference on …, 2014 | 229 | 2014 |
| A general framework for distributional similarity J Weeds, D Weir Proceedings of the 2003 conference on Empirical methods in natural language …, 2003 | 166 | 2003 |
| Unsupervised acquisition of predominant word senses D McCarthy, R Koeling, J Weeds, J Carroll Computational Linguistics 33 (4), 553-590, 2007 | 162 | 2007 |
| Measures and applications of lexical distributional similarity JE Weeds University of Sussex, 2003 | 149 | 2003 |
| A critique of word similarity as a method for evaluating distributional semantic models M Batchkarov, T Kober, J Reffin, J Weeds, D Weir Proceedings of the 1st Workshop on Evaluating Vector-Space Representations …, 2016 | 73 | 2016 |
| Using automatically acquired predominant senses for word sense disambiguation D McCarthy, R Koeling, J Weeds, JA Carroll Proceedings of SENSEVAL-3, the Third International Workshop on the …, 2004 | 45 | 2004 |
| Using distributional similarity to organise biomedical terminology J Weeds, J Dowdall, G Schneider, B Keller, D Weir Terminology 11 (1), 3-4, 2005 | 44 | 2005 |
| Aligning packed dependency trees: a theory of composition for distributional semantics D Weir, J Weeds, J Reffin, T Kober Computational Linguistics 42 (4), 727-761, 2016 | 36 | 2016 |
| Natural language expression of user policies in pervasive computing environments J Weeds, B Keller, D Weir, I Wakeman, J Rimmer, T Owen Proceedings of OntoLex 2004 (LREC Workshop on Ontologies and Lexical …, 2004 | 28 | 2004 |
| The distributional similarity of sub-parses J Weeds, D Weir, B Keller Proceedings of the ACL Workshop on Empirical Modeling of Semantic …, 2005 | 23 | 2005 |
| Ranking WordNet senses automatically D McCarthy, R Koeling, J Weeds recall 40, 60, 2004 | 22 | 2004 |
| Data mining in clinical trial text: Transformers for classification and question answering tasks L Schmidt, J Weeds, J Higgins arXiv preprint arXiv:2001.11268, 2020 | 19 | 2020 |
| Improving sparse word representations with distributional inference for semantic composition T Kober, J Weeds, J Reffin, D Weir arXiv preprint arXiv:1608.06794, 2016 | 15 | 2016 |
| Managing the policies of non-technical users in a dynamic world T Owen, I Wakeman, B Keller, J Weeds, D Weir Sixth IEEE International Workshop on Policies for Distributed Systems and …, 2005 | 15 | 2005 |
| Finding and evaluating sets of nearest neighbours J Weeds, D Weir Proceedings of the 2nd International Conference on Corpus Linguistics …, 2003 | 12 | 2003 |
| Data augmentation for hypernymy detection T Kober, J Weeds, L Bertolini, D Weir arXiv preprint arXiv:2005.01854, 2020 | 11 | 2020 |
| Automatic identification of infrequent word senses D McCarthy, R Koeling, J Weeds, JA Carroll COLING 2004: Proceedings of the 20th International Conference on …, 2004 | 11 | 2004 |
