| Cancer Hallmarks Analytics Tool (CHAT): a text mining approach to organize and evaluate scientific literature on cancer S Baker, I Ali, I Silins, S Pyysalo, Y Guo, J Högberg, U Stenius, ... Bioinformatics 33 (24), 3973-3981, 2017 | 97 | 2017 |
| An unsupervised model for instance level subcategorization acquisition S Baker, R Reichart, A Korhonen Proceedings of the 2014 conference on empirical methods in natural language …, 2014 | 97 | 2014 |
| A systematic literature review of automatic Alzheimer’s disease detection from speech and language U Petti, S Baker, A Korhonen Journal of the American Medical Informatics Association 27 (11), 1784-1797, 2020 | 89 | 2020 |
| Automatic semantic classification of scientific literature according to the hallmarks of cancer S Baker, I Silins, Y Guo, I Ali, J Högberg, U Stenius, A Korhonen Bioinformatics 32 (3), 432-440, 2016 | 86 | 2016 |
| Automated usability testing framework FTW Au, S Baker, I Warren, G Dobbie Proceedings of the ninth conference on Australasian user interface-Volume 76 …, 2008 | 80 | 2008 |
| Extracting supply chain maps from news articles using deep neural networks P Wichmann, A Brintrup, S Baker, P Woodall, D McFarlane International Journal of Production Research 58 (17), 5320-5336, 2020 | 73 | 2020 |
| Multi-simlex: A large-scale evaluation of multilingual and cross-lingual lexical semantic similarity I Vuliæ, S Baker, EM Ponti, U Petti, I Leviant, K Wing, O Majewska, E Bar, ... Computational Linguistics, 1-73, 2020 | 69 | 2020 |
| Initializing neural networks for hierarchical multi-label text classification S Baker, A Korhonen BioNLP 2017, 307-315, 2017 | 69 | 2017 |
| LION LBD: a literature-based discovery system for cancer biology S Pyysalo, S Baker, I Ali, S Haselwimmer, T Shah, A Young, Y Guo, ... Bioinformatics 35 (9), 1553-1561, 2019 | 54 | 2019 |
| Cancer Hallmark Text Classification Using Convolutional Neural Networks S Baker, A Korhonen, S Pyysalo | 52 | 2016 |
| Towards improving decision making and estimating the value of decisions in value-based software engineering: the VALUE framework E Mendes, P Rodriguez, V Freitas, S Baker, MA Atoui Software Quality Journal 26, 607-656, 2018 | 38 | 2018 |
| Dialogue response selection with hierarchical curriculum learning Y Su, D Cai, Q Zhou, Z Lin, S Baker, Y Cao, S Shi, N Collier, Y Wang arXiv preprint arXiv:2012.14756, 2020 | 34 | 2020 |
| Neural networks for open and closed literature-based discovery G Crichton, S Baker, Y Guo, A Korhonen PloS one 15 (5), e0232891, 2020 | 32 | 2020 |
| Non-autoregressive text generation with pre-trained language models Y Su, D Cai, Y Wang, D Vandyke, S Baker, P Li, N Collier arXiv preprint arXiv:2102.08220, 2021 | 30 | 2021 |
| Prototype-to-style: Dialogue generation with style-aware editing on retrieval memory Y Su, Y Wang, D Cai, S Baker, A Korhonen, N Collier IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 2152-2161, 2021 | 29 | 2021 |
| Automated usability testing using HUI analyzer S Baker, F Au, G Dobbie, I Warren 19th Australian Conference on Software Engineering (aswec 2008), 579-588, 2008 | 27 | 2008 |
| Variable typing: Assigning meaning to variables in mathematical text Y Stathopoulos, S Baker, M Rei, S Teufel Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 25 | 2018 |
| Text mining for improved exposure assessment K Larsson, S Baker, I Silins, Y Guo, U Stenius, A Korhonen, M Berglund PloS one 12 (3), e0173132, 2017 | 23 | 2017 |
| Towards automatically generating supply chain maps from natural language text P Wichmann, A Brintrup, S Baker, P Woodall, D McFarlane IFAC-PapersOnLine 51 (11), 1726-1731, 2018 | 22 | 2018 |
| Few-shot table-to-text generation with prototype memory Y Su, Z Meng, S Baker, N Collier arXiv preprint arXiv:2108.12516, 2021 | 19 | 2021 |
Anna KorhonenProfessor, Computer Science and Linguistics, University of CambridgeVerified email at cam.ac.uk
