| BRAT: a web-based tool for NLP-assisted text annotation P Stenetorp, S Pyysalo, G Topić, T Ohta, S Ananiadou, J Tsujii Proceedings of the Demonstrations at the 13th Conference of the European …, 2012 | 1146 | 2012 |
| Automatic recognition of multi-word terms:. the c-value/nc-value method K Frantzi, S Ananiadou, H Mima International journal on digital libraries 3 (2), 115-130, 2000 | 1082 | 2000 |
| Developing a robust part-of-speech tagger for biomedical text Y Tsuruoka, Y Tateishi, JD Kim, T Ohta, J McNaught, S Ananiadou, ... Panhellenic Conference on Informatics, 382-392, 2005 | 615 | 2005 |
| Using text mining for study identification in systematic reviews: a systematic review of current approaches A O’Mara-Eves, J Thomas, J McNaught, M Miwa, S Ananiadou Systematic reviews 4 (1), 1-22, 2015 | 455 | 2015 |
| Text mining for biology and biomedicine S Ananiadou, J McNaught Artech House, 2006 | 428 | 2006 |
| Text mining and ontologies in biomedicine: making sense of raw text I Spasic, S Ananiadou, J McNaught, A Kumar Briefings in bioinformatics 6 (3), 239-251, 2005 | 412 | 2005 |
| Text mining and its potential applications in systems biology S Ananiadou, DB Kell, J Tsujii Trends in biotechnology 24 (12), 571-579, 2006 | 410 | 2006 |
| The C-value/NC-value domain-independent method for multi-word term extraction KT Frantzi, S Ananiadou Journal of Natural Language Processing 6 (3), 145-179, 1999 | 292 | 1999 |
| A methodology for automatic term recognition S Ananiadou COLING 1994 Volume 2: The 15th International Conference on Computational …, 1994 | 289 | 1994 |
| Stochastic gradient descent training for l1-regularized log-linear models with cumulative penalty Y Tsuruoka, J Tsujii, S Ananiadou Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL …, 2009 | 279 | 2009 |
| The C-value/NC-value Method of Automatic Recognition for Multi-word Terms KT Frantzi, S Ananiadou, J Tsujii International conference on theory and practice of digital libraries, 585-604, 1998 | 267 | 1998 |
| Event extraction for systems biology by text mining the literature S Ananiadou, S Pyysalo, J Tsujii, DB Kell Trends in biotechnology 28 (7), 381-390, 2010 | 252 | 2010 |
| Extracting nested collocations KT Frantzi, S Ananiadou COLING 1996 Volume 1: The 16th International Conference on Computational …, 1996 | 233 | 1996 |
| Applications of text mining within systematic reviews J Thomas, J McNaught, S Ananiadou Research synthesis methods 2 (1), 1-14, 2011 | 204 | 2011 |
| FACTA: a text search engine for finding associated biomedical concepts Y Tsuruoka, J Tsujii, S Ananiadou Bioinformatics 24 (21), 2559-2560, 2008 | 204 | 2008 |
| Identifying sections in scientific abstracts using conditional random fields K Hirohata, N Okazaki, S Ananiadou, M Ishizuka Proceedings of the Third International Joint Conference on Natural Language …, 2008 | 196 | 2008 |
| A neural layered model for nested named entity recognition M Ju, M Miwa, S Ananiadou Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 166 | 2018 |
| Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts I Korkontzelos, A Nikfarjam, M Shardlow, A Sarker, S Ananiadou, ... Journal of biomedical informatics 62, 148-158, 2016 | 152 | 2016 |
| Reducing systematic review workload through certainty-based screening M Miwa, J Thomas, A O’Mara-Eves, S Ananiadou Journal of biomedical informatics 51, 242-253, 2014 | 151 | 2014 |
| Supporting systematic reviews using text mining S Ananiadou, B Rea, N Okazaki, R Procter, J Thomas Social Science Computer Review 27 (4), 509-523, 2009 | 147 | 2009 |
Junichi TsujiiArtificial Intelligence Research Center, AISTVerified email at aist.go.jp
