about
BioLemmatizer: a lemmatization tool for morphological processing of biomedical textGene Ontology synonym generation rules lead to increased performance in biomedical concept recognition.Recognizing chemicals in patents: a comparative analysisText mining resources for the life sciences.Evaluation and cross-comparison of lexical entities of biological interest (LexEBI)Automatically Detecting Acute Myocardial Infarction Events from EHR Text: A Preliminary StudyThe CHEMDNER corpus of chemicals and drugs and its annotation principlesProcessing biological literature with customizable Web services supporting interoperable formatsLarge-scale biomedical concept recognition: an evaluation of current automatic annotators and their parametersNCBI disease corpus: a resource for disease name recognition and concept normalizationBenchmarking infrastructure for mutation text miningCollective instance-level gene normalization on the IGN corpusSharing annotations better: RESTful Open AnnotationLarge-scale event extraction from literature with multi-level gene normalization.Anatomical entity mention recognition at literature scaleDeTEXT: A Database for Evaluating Text Extraction from Biomedical Literature Figures.Evaluating gold standard corpora against gene/protein tagging solutions and lexical resourcesBC4GO: a full-text corpus for the BioCreative IV GO task.Representing annotation compositionality and provenance for the Semantic Web.Finding pathway-modulating genes from a novel Ontology Fingerprint-derived gene networkA corpus of full-text journal articles is a robust evaluation tool for revealing differences in performance of biomedical natural language processing tools.Protein Ontology: a controlled structured network of protein entities.NOBLE - Flexible concept recognition for large-scale biomedical natural language processingGeneration of silver standard concept annotations from biomedical texts with special relevance to phenotypes.A modular framework for biomedical concept recognitionA document processing pipeline for annotating chemical entities in scientific documentsAssessing the impact of case sensitivity and term information gain on biomedical concept recognition.A Framework for Collaborative Curation of Neuroscientific Literature.Annotating patient clinical records with syntactic chunks and named entities: the Harvey CorpusA multilingual gold-standard corpus for biomedical concept recognition: the Mantra GSC.A survey on annotation tools for the biomedical literature.An analysis on the entity annotations in biological corpora.Coreference annotation and resolution in the Colorado Richly Annotated Full Text (CRAFT) corpus of biomedical journal articlesTutorial on Protein Ontology Resources.Evaluating a variety of text-mined features for automatic protein function prediction with GOstructAutomated annotation of functional imaging experiments via multi-label classification.A neural network multi-task learning approach to biomedical named entity recognition.Biological network extraction from scientific literature: state of the art and challenges.Semantic annotation in biomedicine: the current landscape.Egas: a collaborative and interactive document curation platform.
P2860
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P2860
description
2012 nî lūn-bûn
@nan
2012 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Concept annotation in the CRAFT corpus.
@ast
Concept annotation in the CRAFT corpus.
@en
type
label
Concept annotation in the CRAFT corpus.
@ast
Concept annotation in the CRAFT corpus.
@en
prefLabel
Concept annotation in the CRAFT corpus.
@ast
Concept annotation in the CRAFT corpus.
@en
P2093
P2860
P50
P356
P1433
P1476
Concept annotation in the CRAFT corpus.
@en
P2093
Dmitry Sitnikov
Donald Evans
K Bretonnel Cohen
Krista Shipley
Kristin Garcia
Michael Bada
Miriam Eckert
William A Baumgartner
P2860
P2888
P356
10.1186/1471-2105-13-161
P577
2012-07-09T00:00:00Z
P5875
P6179
1021645328