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User 'Yue Wang'

Projects

NameDescription# Ann.Updated atStatus
1-10 / 22 show all
CyanoBaseCyanobacteria are prokaryotic organisms that have served as important model organisms for studying oxygenic photosynthesis and have played a significant role in the Earthfs history as primary producers of atmospheric oxygen. Publication: http://www.aclweb.org/anthology/W12-24301,1012016-05-17Released
bionlp-st-bb3-2016-testEntity (bacteria, habitats and geographical places) annotation to the test dataset of the BioNLP-ST 2016 BB task. For more information, please refer to bionlp-st-bb3-2016-development and bionlp-st-bb3-2016-training. Bacteria Bacteria entities are annotated as contiguous spans of text that contains a full unambiguous prokaryote taxon name, the type label is Bacteria. The Bacteria type is a taxon, at any taxonomic level from phylum (Eubacteria) to strain. The category that the text entities have to be assigned to is the most specific and unique category of the NCBI taxonomy resource. In case a given strain, or a group of strains is not referenced by NCBI, it is assigned with the closest taxid in the taxonomy. Habitat Habitat entities are annotated as spans of text that contains a complete mention of a potential habitat for bacteria, the type label is Habitat. Habitat entities are assigned one or several concepts from the habitat subpart of the OntoBiotope ontology. The assigned concepts are as specific as possible. OntoBiotope defines most relevant microorganism habitats from all areas considered by microbial ecology (hosts, natural environment, anthropized environments, food, medical, etc.). Habitat entities are rarely referential entities, they are usually noun phrases including properties and modifiers. There are rare cases of habitats referred with adjectives or verbs. The spans are generally contiguous but some of them are discontinuous in order to cope with conjunctions. Geographical Geographical entities are geographical and organization places denoted by official names.1,2262016-12-06Released
AnEM_full-texts250 documents selected randomly from full-text papers Entity types: organism subdivision, anatomical system, organ, multi-tissue structure, tissue, cell, developing anatomical structure, cellular component, organism substance, immaterial anatomical entity and pathological formation Together with AnEM_abstracts, it is probably the largest manually annotated corpus on anatomical entities.6892016-07-27Uploading
AnEM_abstracts250 documents selected randomly from citation abstracts Entity types: organism subdivision, anatomical system, organ, multi-tissue structure, tissue, cell, developing anatomical structure, cellular component, organism substance, immaterial anatomical entity and pathological formation Together with AnEM_full-texts, it is probably the largest manually annotated corpus on anatomical entities.1,9462016-06-07Released
My_demo_projectDemo project for testing.02017-04-27Testing
bionlp-st-seedev-2016-trainingEntity annotation to the training dataset of the BioNLP-ST 2016 SeeDev task. For more information, please refer to bionlp-st-seedev-2016-develop and bionlp-st-seedev-2016-test. GRNA model defines 16 different types of entities.             Molecule   DNA Gene "LEC1" "APETALA2"   Gene_Family "LEC AP2-like"   Box "5'-GCATCG-3'"   Promoter "BCCP2" DNA Product   RNA "FUS3 transcript" Amino acid sequence Protein "WRI1" Protein_Family "SSPs" Protein_Complex "SIN3/HDAC" Protein_Domain "MADS-domain"     Hormone "ABA" Dynamic Process Regulatory_Network "embryonic process" Metabolic pathway "FA biosynthesis" Context   Biological context Genotype "fus3 mutant" Tissue "embryo" Development_Phase "meristem formation"   Environmental_Factor "in vitro" 2082016-12-06Uploading
bionlp-st-cg-2013-trainingThe training dataset from the cancer genetics task in the BioNLP Shared Task 2013. Composed of anatomical and molecular entities.10,9352016-12-06Released
AIMedThe AIMed corpus is one of the most widely used corpora for protein-protein interaction extraction. The protein annotations are either parts of the protein interaction annotations, or are uninvolved in any protein interaction annotation. Publication: http://www.cs.utexas.edu/~ml/papers/bionlp-aimed-04.pdf4,0422017-04-14Testing
bionlp-st-pc-2013-traingThe training dataset from the pathway curation (PC) task in the BioNLP Shared Task 2013. The entity types defined in the PC task are simple chemical, gene or gene product, complex and cellular component.7,8552016-12-06Released
PennBioIEThe PennBioIE corpus (0.9) covers two domains of biomedical knowledge. One is the inhibition of the cytochrome P450 family of enzymes (CYP450 or CYP for short) , and the other domain is the molecular genetics of dance (oncology or onco for short).23,8812016-12-06Released

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