about
Automatic vs. manual curation of a multi-source chemical dictionary: the impact on text miningChemical named entities recognition: a review on approaches and applicationsOSCAR4: a flexible architecture for chemical text-miningRecognizing chemicals in patents: a comparative analysisChemSpot: a hybrid system for chemical named entity recognitionMany InChIs and quite some featIron behaving badly: inappropriate iron chelation as a major contributor to the aetiology of vascular and other progressive inflammatory and degenerative diseasestmChem: a high performance approach for chemical named entity recognition and normalizationUsing workflows to explore and optimise named entity recognition for chemistryCross-species gene normalization by species inferenceAnnotated chemical patent corpus: a gold standard for text miningDisease named entity recognition by combining conditional random fields and bidirectional recurrent neural networksChemical named entity recognition in patents by domain knowledge and unsupervised feature learningOpen Source Bayesian Models. 1. Application to ADME/Tox and Drug Discovery DatasetsLeadMine: a grammar and dictionary driven approach to entity recognitionMining the pharmacogenomics literature--a survey of the state of the artAutomated annotation of chemical names in the literature with tunable accuracyNERChem: adapting NERBio to chemical patents via full-token features and named entity feature with chemical sub-class compositionChemical entity recognition in patents by combining dictionary-based and statistical approachesChemEx: information extraction system for chemical data curation.Identification of histone modifications in biomedical text for supporting epigenomic research.Prioritizing PubMed articles for the Comparative Toxicogenomic Database utilizing semantic information.Mining metabolites: extracting the yeast metabolome from the literature.Enhancing of chemical compound and drug name recognition using representative tag scheme and fine-grained tokenization.A document processing pipeline for annotating chemical entities in scientific documentsA comparison of conditional random fields and structured support vector machines for chemical entity recognition in biomedical literature.TaggerOne: joint named entity recognition and normalization with semi-Markov ModelsCheNER: chemical named entity recognizer.A survey on annotation tools for the biomedical literature.A dictionary to identify small molecules and drugs in free text.An Overview of Biomolecular Event Extraction from Scientific Documents.Text Mining for Drugs and Chemical Compounds: Methods, Tools and Applications.Chemical Entity Recognition and Resolution to ChEBI.CheNER: a tool for the identification of chemical entities and their classes in biomedical literature.Automated systematic nomenclature generation for organic compoundsBiomedical Text Mining: State-of-the-Art, Open Problems and Future ChallengesIdentification of Chemical Entities in Patent Documents
P2860
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P2860
description
2008 nî lūn-bûn
@nan
2008 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Detection of IUPAC and IUPAC-like chemical names
@ast
Detection of IUPAC and IUPAC-like chemical names
@en
Detection of IUPAC and IUPAC-like chemical names
@nl
type
label
Detection of IUPAC and IUPAC-like chemical names
@ast
Detection of IUPAC and IUPAC-like chemical names
@en
Detection of IUPAC and IUPAC-like chemical names
@nl
prefLabel
Detection of IUPAC and IUPAC-like chemical names
@ast
Detection of IUPAC and IUPAC-like chemical names
@en
Detection of IUPAC and IUPAC-like chemical names
@nl
P2093
P2860
P3181
P356
P1433
P1476
Detection of IUPAC and IUPAC-like chemical names
@en
P2093
C. Kolarik
C. M. Friedrich
R. Klinger
P2860
P304
P3181
P356
10.1093/BIOINFORMATICS/BTN181
P407
P577
2008-06-27T00:00:00Z