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Sophia Ananiadou
Sophia Ananiadou
Professor, Computer Science, Manchester University, National Centre for Text Mining
Bestätigte E-Mail-Adresse bei manchester.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
16672012
Automatic recognition of multi-word terms:. the c-value/nc-value method
K Frantzi, S Ananiadou, H Mima
International journal on digital libraries 3, 115-130, 2000
12072000
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, 1-22, 2015
7352015
Distributional Semantics Resources for Biomedical Text Processing
S Pyysalo, F Ginter, H Moen, T Salakoski, S Ananiadou
5th International Symposium on Languages in Biology and Medicine, 39-44, 2013
627*2013
Developing a robust part-of-speech tagger for biomedical text
Y Tsuruoka, Y Tateishi, JD Kim, T Ohta, J McNaught, S Ananiadou, ...
Advances in Informatics: 10th Panhellenic Conference on Informatics, PCI …, 2005
6232005
Text mining for biology and biomedicine
S Ananiadou, J McNaught
Artech House, 2006
4682006
Text mining and its potential applications in systems biology
S Ananiadou, DB Kell, J Tsujii
Trends in biotechnology 24 (12), 571-579, 2006
4532006
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
4402005
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
3422018
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
3282009
A methodology for automatic term recognition
S Ananiadou
COLING 1994 Volume 2: The 15th International Conference on Computational …, 1994
3101994
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
3031999
The C-value/NC-value Method of Automatic Recognition for Multi-word Terms
KT Frantzi, S Ananiadou, J Tsujii
Research and Advanced Technology for Digital Libraries: Second European …, 1998
3011998
Natural language processing applied to mental illness detection: a narrative review
T Zhang, AM Schoene, S Ji, S Ananiadou
NPJ digital medicine 5 (1), 1-13, 2022
2882022
Connecting the dots: Document-level neural relation extraction with edge-oriented graphs
F Christopoulou, M Miwa, S Ananiadou
arXiv preprint arXiv:1909.00228, 2019
2882019
Inter-sentence relation extraction with document-level graph convolutional neural network
SK Sahu, F Christopoulou, M Miwa, S Ananiadou
arXiv preprint arXiv:1906.04684, 2019
2742019
Applications of text mining within systematic reviews
J Thomas, J McNaught, S Ananiadou
Research synthesis methods 2 (1), 1-14, 2011
2742011
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
2692010
Extracting nested collocations
KT Frantzi, S Ananiadou
COLING 1996 Volume 1: The 16th International Conference on Computational …, 1996
2381996
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
2292014
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