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1
Ontogene Term and Relation Recognition for CDR
In: Ellendorff, Tilia Renate; Clematide, Simon; van der Lek, Adrian; Furrer, Lenz; Rinaldi, Fabio (2015). Ontogene Term and Relation Recognition for CDR. In: BioCreative V, Sevilla, 9 September 2015 - 11 September 2015, 305-310. (2015)
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2
Track 4 Overview: Extraction of Causal Network Information in Biological Expression Language (BEL)
In: Fluck, Juliane; Madan, Sumit; Ellendorff, Tilia Renate; Mevissen, Theo; Clematide, Simon; van der Lek, Adrian; Rinaldi, Fabio (2015). Track 4 Overview: Extraction of Causal Network Information in Biological Expression Language (BEL). In: BioCreative V, Sevilla, 9 September 2015 - 11 September 2015, 333-346. (2015)
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3
Exploiting BabelNet for multilingual biomedical synonym expansion ...
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4
UZH in BioNLP 2013 ...
Schneider, Gerold; Clematide, Simon; Ellendorff, Tilia. - : Association for Computational Linguistics, 2013
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5
How preferred are preferred terms?
In: Grigonyte, Gintare; Clematide, Simon; Rinaldi, Fabio (2013). How preferred are preferred terms? In: Kosem, I; Kallas, J; Gantar, P; Krek, S; Langemets, M; Tuulik, M. Electronic lexicography in the 21st century: thinking outside the paper. Proceedings of the eLex 2013 conference, 17-19 October 2013, Tallinn, Estonia. Ljubljana/Tallinn: eLex, 452-459. (2013)
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6
UZH in BioNLP 2013
In: Schneider, Gerold; Clematide, Simon; Ellendorff, Tilia; Tuggener, Don; Rinaldi, Fabio; Grigonyte, Gintare (2013). UZH in BioNLP 2013. In: Proceedings of the BioNLP Shared Task 2013 Workshop, Sophia, Bulgaria, 9 August 2013 - 9 August 2013, 116-120. (2013)
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7
ODIN: a customizable literature curation tool
In: Rinaldi, Fabio; Davis, Allan Peter; Southan, Christopher; Clematide, Simon; Ellendorff, Tilia Renate; Schneider, Gerold (2013). ODIN: a customizable literature curation tool. In: Fourth BioCreative Challenge Evaluation Workshop, Bethesda, MD, US, 7 October 2013 - 9 October 2013, 219-223. (2013)
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8
OntoGene: CTD entity and action term recognition
In: Rinaldi, Fabio; Clematide, Simon; Ellendorff, Tilia Renate; Marques, Hernani (2013). OntoGene: CTD entity and action term recognition. In: Fourth BioCreative Challenge Evaluation Workshop, Bethesda, MD, US, 7 October 2013 - 9 October 2013, 90-94. (2013)
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9
Ranking of CTD articles and interactions using the OntoGene pipeline
In: Rinaldi, Fabio; Clematide, Simon; Hafner, Simon (2012). Ranking of CTD articles and interactions using the OntoGene pipeline. In: 2012 {BioCreative} workshop, Washington D.C., 4 April 2012 - 5 April 2012. (2012)
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10
Using ODIN for a PharmGKB re-validation experiment
In: Rinaldi, Fabio; Clematide, Simon; Garten, Yael; Whirl-Carrillo, Michelle; Gong, Li; Hebert, Joan M; Sangkuhl, Katrin; Thorn, Caroline F; Klein, Teri E; Altman, Russ B (2012). Using ODIN for a PharmGKB re-validation experiment. Database: The Journal Of Biological Databases And Curation, 2012:bas021. (2012)
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11
Relation Mining Experiments in the Pharmacogenomics Domain
In: Rinaldi, Fabio; Schneider, Gerold; Clematide, Simon (2012). Relation Mining Experiments in the Pharmacogenomics Domain. Journal of Biomedical Informatics, 45(5):851-861. (2012)
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12
Detection of interaction articles and experimental methods in biomedical literature
In: Schneider, Gerold; Clematide, Simon; Rinaldi, Fabio (2011). Detection of interaction articles and experimental methods in biomedical literature. BMC Bioinformatics, 12(Suppl 8):S13. (2011)
Abstract: Background: This article describes the approaches taken by the OntoGene group at the University of Zurich in dealing with two tasks of the BioCreative III competition: classification of articles which contain curatable protein- protein interactions (PPI-ACT) and extraction of experimental methods (PPI-IMT). Results: Two main achievements are described in this paper: (a) a system for document classification which crucially relies on the results of an advanced pipeline of natural language processing tools; (b) a system which is capable of detecting all experimental methods mentioned in scientific literature, and listing them with a competitive ranking (AUC iP/R > 0.5). Conclusions: The results of the BioCreative III shared evaluation clearly demonstrate that significant progress has been achieved in the domain of biomedical text mining in the past few years. Our own contribution, together with the results of other participants, provides evidence that natural language processing techniques have become by now an integral part of advanced text mining approaches.
Keyword: 000 Computer science; 410 Linguistics; 820 English & Old English literatures; BioCreative III; Detection of experimental methods; Document classification; English Department; Information Extraction; Institute of Computational Linguistics; knowledge & systems; Text Mining
URL: https://doi.org/10.1186/1471-2105-12-S8-S13
https://www.zora.uzh.ch/id/eprint/52959/
https://www.zora.uzh.ch/id/eprint/52959/3/1471-2105-12-S8-S13.pdf
https://doi.org/10.5167/uzh-52959
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13
OntoGene (Team 65): preliminary analysis of participation in BioCreative III
In: Rinaldi, Fabio; Schneider, Gerold; Clematide, Simon; Jegen, Silvan; et al (2010). OntoGene (Team 65): preliminary analysis of participation in BioCreative III. In: BioCreative III workshop, Bethesda, Maryland, 13 September 2010 - 15 September 2010. (2010)
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