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NameTDescription# Ann.AuthorMaintainerUpdated_atStatus

81-100 / 381 show all
bionlp-st-ge-2016-uniprot UniProt protein annotation to the benchmark data set of BioNLP-ST 2016 GE task: reference data set (bionlp-st-ge-2016-reference) and test data set (bionlp-st-ge-2016-test). The annotations are produced based on a dictionary which is semi-automatically compiled for the 34 full paper articles included in the benchmark data set (20 in the reference data set + 14 in the test data set). For detailed information about BioNLP-ST GE 2016 task data sets, please refer to the benchmark reference data set (bionlp-st-ge-2016-reference) and benchmark test data set (bionlp-st-ge-2016-test). 16.2 KDBCLSJin-Dong Kim2020-09-18Beta
NEUROSES This corpus is composed of PubMed articles containing cognitive enhancers and anti-depressants drug mentions. The selected sentences are automatically annotated using the NCBO Annotator with the Chemical Entities of Biological Interest (CHEBI) and Phenotypic Quality Ontology (PATO) ontologies, we also produced annotations using PhenoMiner ontology via a dictionary-based tagger.2.14 Mnestoralvaro2020-09-18Beta
IMDB-NLP Annotations for chunking and semantic role labeling based on in-memory databases.02016-05-06Uploading
CoGe_Citation_Annotations Annotated PMC abstracts+full articles, that cite the "CoGe" papers (PMID: 18952863, 18269575). Total Num Citations: 165 Total Num Unique Citations: 141 Total Num Abstracts: 165 Total Num Whole Articles: 165 0Heather Lenthclent2016-10-11Uploading
OryzaGP1 A dataset for Named Entity Recognition for rice gene0Huy Do. Pierre Larmande2019-01-31Uploading
OryzaGP A dataset for Named Entity Recognition for rice gene29.1 KHuy Do and Pierre LarmandeYue Wang2019-03-13Uploading
FA_Top100Plus-GeneProtein Top100+本来Top100に入るべきだった7レビューの計、107レビュー中101レビュー。 5414, 6076, 6930, 8403, 9643, 18544は、0denotationでドキュメント自体登録していない。 attributesの詳細はconfig参照。 ドキュメントのソースDBが@AikoHIRAKIとなっているものはTypo修正がPubAnnotationの公式FirstAuthorsドキュメントに反映された段階で置き換えます。 10.4 Kyucca2020-09-14Uploading
AnEM_full-texts 250 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.687NaCTeMYue Wang2020-09-17Uploading
tagtog OpenAccess annotations coming from tagtog.net0tagtogtagtog2015-02-23Developing
KAIST_NLP_Annotation3 4.73 Kkaist_nlp2015-09-21Developing
KAIST_NLP_Annotation4 5.18 Kkaist_nlp2015-09-21Developing
KAIST_NLP_Annotation5 6.27 Kkaist_nlp2015-09-21Developing
KAIST_NLP_Annotation6 4.47 Kkaist_nlp2015-09-21Developing
KAIST_NLP_Annotation7 4.64 Kkaist_nlp2015-09-21Developing
KAIST_NLP_Annotation9 6.32 Kkaist_nlp2015-09-21Developing
KAIST_NLP_Annotation10 4.76 Kkaist_nlp2015-09-21Developing
KAIST_NLP_Annotation11 4.88 Kkaist_nlp2015-09-21Developing
KAIST_NLP_Annotation12 5 Kkaist_nlp2015-09-21Developing
KAIST_NLP_Annotation13 6.27 Kkaist_nlp2015-09-21Developing
KAIST_NLP_Annotation8 5.02 Kkaist_nlp2015-10-02Developing
NameT# Ann.AuthorMaintainerUpdated_atStatus

81-100 / 381 show all
bionlp-st-ge-2016-uniprot 16.2 KDBCLSJin-Dong Kim2020-09-18Beta
NEUROSES 2.14 Mnestoralvaro2020-09-18Beta
IMDB-NLP 02016-05-06Uploading
CoGe_Citation_Annotations 0Heather Lenthclent2016-10-11Uploading
OryzaGP1 0Huy Do. Pierre Larmande2019-01-31Uploading
OryzaGP 29.1 KHuy Do and Pierre LarmandeYue Wang2019-03-13Uploading
FA_Top100Plus-GeneProtein 10.4 Kyucca2020-09-14Uploading
AnEM_full-texts 687NaCTeMYue Wang2020-09-17Uploading
tagtog 0tagtogtagtog2015-02-23Developing
KAIST_NLP_Annotation3 4.73 Kkaist_nlp2015-09-21Developing
KAIST_NLP_Annotation4 5.18 Kkaist_nlp2015-09-21Developing
KAIST_NLP_Annotation5 6.27 Kkaist_nlp2015-09-21Developing
KAIST_NLP_Annotation6 4.47 Kkaist_nlp2015-09-21Developing
KAIST_NLP_Annotation7 4.64 Kkaist_nlp2015-09-21Developing
KAIST_NLP_Annotation9 6.32 Kkaist_nlp2015-09-21Developing
KAIST_NLP_Annotation10 4.76 Kkaist_nlp2015-09-21Developing
KAIST_NLP_Annotation11 4.88 Kkaist_nlp2015-09-21Developing
KAIST_NLP_Annotation12 5 Kkaist_nlp2015-09-21Developing
KAIST_NLP_Annotation13 6.27 Kkaist_nlp2015-09-21Developing
KAIST_NLP_Annotation8 5.02 Kkaist_nlp2015-10-02Developing