Sophia Ananiadou

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Junichi TsujiiArtificial Intelligence Research Center, AISTZweryfikowany adres z aist.go.jp
John McNaughtDeputy Director, National Centre for Text Mining, School of Computer Science, University of ManchesterZweryfikowany adres z manchester.ac.uk
Paul ThompsonResearch Fellow, School of Computer Science, University of ManchesterZweryfikowany adres z manchester.ac.uk
Sampo PyysaloUniversity of TurkuZweryfikowany adres z utu.fi
Yoshimasa TsuruokaThe University of TokyoZweryfikowany adres z logos.t.u-tokyo.ac.jp
Makoto MiwaAssociate Professor, Toyota Technological InstituteZweryfikowany adres z toyota-ti.ac.jp
Riza Batista-NavarroLecturer in Text Mining, Department of Computer Science, University of ManchesterZweryfikowany adres z manchester.ac.uk
Katerina FrantziUniversity of the AegeanZweryfikowany adres z rhodes.aegean.gr
James ThomasProfessor of Social Research & Policy, EPPI-Centre, UCL Social Research Institute, UCLZweryfikowany adres z ioe.ac.uk
Douglas KellUniversity of LiverpoolZweryfikowany adres z liv.ac.uk
Piotr PrzybyłaInstitute of Computer Science, Polish Academy of SciencesZweryfikowany adres z ipipan.waw.pl
Nhung T. H. NguyenNational Centre for Text Mining, University of Manchester, UKZweryfikowany adres z manchester.ac.uk
Fenia ChristopoulouResearch Scientist, Huawei Noah's Ark LabZweryfikowany adres z huawei.com
Meizhi JuTencent Jarvis LabZweryfikowany adres z tencent.com
Chrysoula ZervaInstituto de Telecomunicações, IST, LisbonZweryfikowany adres z tecnico.ulisboa.pt

Sophia Ananiadou

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

Zweryfikowany adres z manchester.ac.uk - Strona główna

Natural Language Processing Text Mining Biomedical Text Mining Artificial Intelligence


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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	1053	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	1034	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	596	2005
Text mining for biology and biomedicine S Ananiadou, J McNaught Artech House, 2006	415	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	402	2005
Text mining and its potential applications in systems biology S Ananiadou, DB Kell, J Tsujii Trends in biotechnology 24 (12), 571-579, 2006	390	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	370	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	283	1999
A methodology for automatic term recognition S Ananiadou COLING 1994 Volume 2: The 15th International Conference on Computational …, 1994	274	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	261	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	253	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	245	2010
Extracting nested collocations KT Frantzi, S Ananiadou COLING 1996 Volume 1: The 16th International Conference on Computational …, 1996	227	1996
FACTA: a text search engine for finding associated biomedical concepts Y Tsuruoka, J Tsujii, S Ananiadou Bioinformatics 24 (21), 2559-2560, 2008	197	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	183	2008
Applications of text mining within systematic reviews J Thomas, J McNaught, S Ananiadou Research synthesis methods 2 (1), 1-14, 2011	180	2011
Generating natural language specifications from UML class diagrams F Meziane, N Athanasakis, S Ananiadou Requirements Engineering 13 (1), 1-18, 2008	140	2008
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	134	2014
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	131	2016
Discovering and visualizing indirect associations between biomedical concepts Y Tsuruoka, M Miwa, K Hamamoto, J Tsujii, S Ananiadou Bioinformatics 27 (13), i111-i119, 2011	131	2011

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