Sophia Ananiadou

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Junichi TsujiiArtificial Intelligence Research Center, AISTVerified email at aist.go.jp
John McNaughtDeputy Director, National Centre for Text Mining, School of Computer Science, University of ManchesterVerified email at manchester.ac.uk
Paul ThompsonResearch Fellow, School of Computer Science, University of ManchesterVerified email at manchester.ac.uk
Sampo PyysaloUniversity of TurkuVerified email at utu.fi
Yoshimasa TsuruokaThe University of TokyoVerified email at logos.t.u-tokyo.ac.jp
Makoto MiwaAssociate Professor, Toyota Technological InstituteVerified email at toyota-ti.ac.jp
Riza Batista-NavarroLecturer in Text Mining, Department of Computer Science, University of ManchesterVerified email at manchester.ac.uk
James ThomasProfessor of Social Research & Policy, EPPI-Centre, UCL Social Research Institute, UCLVerified email at ioe.ac.uk
Katerina FrantziUniversity of the AegeanVerified email at rhodes.aegean.gr
Douglas KellUniversity of LiverpoolVerified email at liv.ac.uk
Piotr PrzybyłaInstitute of Computer Science, Polish Academy of SciencesVerified email at ipipan.waw.pl
Meizhi JuTencent Jarvis LabVerified email at tencent.com
Chrysoula ZervaInstituto de Telecomunicações, IST, LisbonVerified email at tecnico.ulisboa.pt
Fenia ChristopoulouHuawei Noah's Ark LabVerified email at huawei.com
Nhung T. H. NguyenNational Centre for Text Mining, University of Manchester, UKVerified email at manchester.ac.uk

Sophia Ananiadou

Professor, Computer Science, Manchester University, National Centre for Text Mining

Verified email at manchester.ac.uk - Homepage

Natural Language Processing Text Mining Biomedical Text Mining Artificial Intelligence


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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	993	2000
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	946	2012
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	599	2005
Text mining for biology and biomedicine S Ananiadou, J McNaught Artech House, 2006	410	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	386	2005
Text mining and its potential applications in systems biology S Ananiadou, DB Kell, J Tsujii Trends in biotechnology 24 (12), 571-579, 2006	381	2006
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	340	2015
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	276	1999
A methodology for automatic term recognition S Ananiadou COLING 1994 Volume 2: The 15th International Conference on Computational …, 1994	269	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	254	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	246	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	241	2010
Extracting nested collocations KT Frantzi, S Ananiadou COLING 1996 Volume 1: The 16th International Conference on Computational …, 1996	216	1996
FACTA: a text search engine for finding associated biomedical concepts Y Tsuruoka, J Tsujii, S Ananiadou Bioinformatics 24 (21), 2559-2560, 2008	190	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	178	2008
Applications of text mining within systematic reviews J Thomas, J McNaught, S Ananiadou Research synthesis methods 2 (1), 1-14, 2011	170	2011
Generating natural language specifications from UML class diagrams F Meziane, N Athanasakis, S Ananiadou Requirements Engineering 13 (1), 1-18, 2008	135	2008
Discovering and visualizing indirect associations between biomedical concepts Y Tsuruoka, M Miwa, K Hamamoto, J Tsujii, S Ananiadou Bioinformatics 27 (13), i111-i119, 2011	127	2011
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	122	2009
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	121	2014

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