Keywords:
Publications of McNaught, J. sorted by journal and type
Ariadne
| , , , , , , , and , Towards Interoperability of European Language Resources (2011), in: Ariadne, 67 |
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| , , , and , The National Centre for Text Mining: Aims and Objectives (2005), in: Ariadne, 42 |
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Bioinformatics
| , , and , Learning string similarity measures for gene/protein name dictionary look-up using logistic regression (2007), in: Bioinformatics, 23:20(2768-2774) |
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BMC Bioinformatics
| , , , and , Extracting semantically enriched events from biomedical literature (2012), in: BMC Bioinformatics, 13(108) |
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| , , and , Enriching a biomedical event corpus with meta-knowledge annotation (2011), in: BMC Bioinformatics, 12(393) |
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| , , , , , , , , , , , , , and , The BioLexicon: a large-scale terminological resource for biomedical text mining (2011), in: BMC Bioinformatics, 12(397) |
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| , , and , Construction of an annotated corpus to support biomedical information extraction (2009), in: BMC Bioinformatics, 10(349) |
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| , , and , How to make the most of NE dictionaries in statistical NER (2008), in: BMC Bioinformatics, 9:Suppl 11(S5) |
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| , and , Normalizing biomedical terms by minimizing ambiguity and variability (2008), in: BMC Bioinformatics, 9:Suppl 3(S2) |
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BMC Medical Informatics and Decision Making
| , , , , and , Identification of Research Hypotheses and New Knowledge from Scientific Literature (2018), in: BMC Medical Informatics and Decision Making, 18(46) |
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Briefings in Bioinformatics
| , , and , Text mining and ontologies in biomedicine: making sense of raw text. (2005), in: Briefings in Bioinformatics, 6:3(239--251) |
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Briefings in Functional Genomics
| , , , and , Event Based Text Mining for Biology and Functional Genomics (2014), in: Briefings in Functional Genomics, 14:3(213-230) |
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Computer and Information Science
| , and , Corpus Analysis and Annotation for Helpful Sentences in Product Reviews (2018), in: Computer and Information Science, 11:2(76-87) |
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Database: The Journal of Biological Databases and Curation
| , , , , , , and , Text Mining Resources for the Life Sciences (2016), in: Database: The Journal of Biological Databases and Curation(baw145) |
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IEEE Software
| , , , , , and , Requirements Engineering for E-science: Experiences in Epidemiology (2009), in: IEEE Software, 26:1(80-87) |
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Information Visualization
| , , , , , and , Developing visualization-based decision support tools for epidemiology (2012), in: Information Visualization |
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Information Visulization
| , , , , , and , Developing visualization-based decision support tools for epidemiology (2014), in: Information Visulization, 13:1(3 -17) |
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International Journal of Advanced Computer Science and Applications
| , and , A Survey of Quality Prediction of Product Reviews (2015), in: International Journal of Advanced Computer Science and Applications, 6:11(49-58) |
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International Journal of Computational Linguistics
| , and , Arabic SentiWordNet in Relation to SentiWordNet 3.0 (2013), in: International Journal of Computational Linguistics, 4:1(1-11) |
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Journal of bioinformatics and computational biology
| , and , The value of an in-domain lexicon in genomics qa (2010), in: Journal of bioinformatics and computational biology, 8:1(147--161) |
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Journal of Biomedical Informatics
| , , , , , and , A semi-supervised approach using label propagation to support citation screening (2017), in: Journal of Biomedical Informatics, 72(67-76) |
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Language Resources and Evaluation
| , , and , Enriching News Events with Meta-knowledge Information (2016), in: Language Resources and Evaluation, 51:2(409-438) |
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| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , The strategic impact of META-NET on the regional, national and international level (2016), in: Language Resources and Evaluation, 50:2(351-374) |
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Methods of Information in Medicine
| , , , , and , Supporting Creativity and Appreciation of Uncertainty in Exploring Geo-coded Public Health Data (2010), in: Methods of Information in Medicine, 49 |
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Neuroinformatics
| , , , , , and , A Text Mining Pipeline Using Active and Deep Learning for Curating Information in Computational Neuroscience (2018), in: Neuroinformatics |
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