> ホーム > プロジェクト

プロジェクト

NameTDescription# Ann.AuthorMaintainerUpdated_atStatus

61-80 / 381 すべて表示
LitCovid-sentences Sentence segmentation of all the texts in the LitCovid literature. The segmentation is automatically obtained using the TextSentencer annotation service developed and maintained by DBCLS.16.5 KJin-Dong Kim2020-04-14公開中
LitCovid-PubTator 22.6 KJin-Dong Kim2020-04-21公開中
CORD-19-PD-MONDO PubDictionaries annotation for MONDO terms - updated at 2020-04-30 It is disease term annotation based on MONDO. Version 2020-04-20. The terms in MONDO are loaded in PubDictionaries, with which the annotations in this project are produced. The parameter configuration used for this project is here. Note that it is an automatically generated dictionary-based annotation. It will be updated periodically, as the documents are increased, and the dictionary is improved.6.32 MJin-Dong Kim2020-04-30公開中
CORD-19-PD-UBERON PubDictionaries annotation for UBERON terms - updated at 2020-04-30 It is disease term annotation based on Uberon. The terms in Uberon are uploaded in PubDictionaries (Uberon), with which the annotations in this project are produced. The parameter configuration used for this project is here. Note that it is an automatically generated dictionary-based annotation. It will be updated periodically, as the documents are increased, and the dictionary is improved.1.42 MJin-Dong Kim2020-04-30公開中
LitCovid-PD-FMA-UBERON PubDictionaries annotation for anatomy terms - updated at 2020-04-20 Disease term annotation based on FMA and Uberon. Version 2020-04-20. The terms in FMA and Uberon are loaded in PubDictionaries (FMA and Uberon), with which the annotations in this project are produced. The parameter configuration used for this project is here for FMA and there for Uberon. Note that it is an automatically generated dictionary-based annotation. It will be updated periodically, as the documents are increased, and the dictionary is improved.4.29 KJin-Dong Kim2020-05-10公開中
LitCovid-PD-MONDO PubDictionaries annotation for disease terms - updated at 2020-04-20 It is based on MONDO Version 2020-04-20. The terms in MONDO are loaded in PubDictionaries, with which the annotations in this project are produced. The parameter configuration used for this project is here. Note that it is an automatically generated dictionary-based annotation. It will be updated periodically, as the documents are increased, and the dictionary is improved.13.4 KJin-Dong Kim2020-05-10公開中
CORD-19-PD-HP PubDictionaries annotation for HP terms - updated at 2020-04-30 Disease term annotation based on HP. Version 2020-04-20. The terms in HP are loaded in PubDictionaries, with which the annotations in this project are produced. The parameter configuration used for this project is here. Note that it is an automatically generated dictionary-based annotation. It will be updated periodically, as the documents are increased, and the dictionary is improved.1.15 MJin-Dong Kim2020-05-12公開中
LitCovid-PD-HP PubDictionaries annotation for human phenotype terms - updated at 2020-04-20 Disease term annotation based on HP. Version 2020-04-20. The terms in HP are loaded in PubDictionaries, with which the annotations in this project are produced. The parameter configuration used for this project is here. Note that it is an automatically generated dictionary-based annotation. It will be updated periodically, as the documents are increased, and the dictionary is improved.3.02 KJin-Dong Kim2020-05-25公開中
LitCovid-OGER-BB Using OGER (www.ontogene.com) and Biobert to obtain annotations for 10 different vocabularies.223 KFabio RinaldiNico Colic2020-06-04公開中
DisGeNET Disease-Gene association annotation.3.12 MNuria Queralt Jin-Dong Kim2016-01-28ベータ
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.2.15 Mnestoralvaro2016-02-24ベータ
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 Kim2016-05-22ベータ
Ab3P-abbreviations This corpus was developed during the creation of the Ab3P abbreviation definition identification tool. It includes 1250 manually annotated MEDLINE records. This gold standard includes 1221 abbreviation-definition pairs. Abbreviation definition identification based on automatic precision estimates Sunghwan Sohn, Donald C Comeau, Won Kim and W John Wilbur BMC Bioinformatics20089:402 DOI: 10.1186/1471-2105-9-4022.34 KSunghwan Sohn, Donald C Comeau, Won Kim and W John Wilburcomeau2016-07-29ベータ
PubCasesHPO HPO annotation in PubCases3.2 MToyofumi Fujiwara2017-09-06ベータ
PubCasesORDO ORDO annotation in PubCases869 KToyofumi Fujiwara2017-09-14ベータ
QFMC_MEDLINE Quaero French Medical Corpus: Annotation of MEDLINE titles5.97 KAurélie NévéolPierre Zweigenbaum2018-01-24ベータ
Genomics_Informatics Genomics & Informatics (NLM title abbreviation: Genomics Inform) is the official journal of the Korea Genome Organization. Text corpus for this journal annotated with various levels of linguistic information would be a valuable resource as the process of information extraction requires syntactic, semantic, and higher levels of natural language processing. In this study, we publish our new corpus called GNI Corpus version 1.0, extracted and annotated from full texts of Genomics & Informatics, with NLTK (Natural Language ToolKit)-based text mining script. The preliminary version of the corpus could be used as a training and testing set of a system that serves a variety of functions for future biomedical text mining.35.3 KHyun-Seok Parkewha-bio2018-11-27ベータ
blah6_medical_device BLAH6 hackathon project to annotate medical device indications in premarket approval statement summaries. The documents in this project serve as a corpus of premarket approval (PMA) statements that have undergone quality control. In particular, we have (1) removed non-ascii characters, (2) fixed some text segmentation errors, and (3) fixed some capitalization errors.0Stefano Rensitherightstef2020-02-13ベータ
LitCovid-PAS-Enju Predicate-argument structure annotation produced by the Enju parser.125 KJin-Dong Kim2020-03-25ベータ
PubmedHPO Human phenotype annotation to PubMed abstracts, based on the HPO ontology12.4 MTudor Grozatudor2020-04-01ベータ
NameT# Ann.AuthorMaintainerUpdated_atStatus

61-80 / 381 すべて表示
LitCovid-sentences 16.5 KJin-Dong Kim2020-04-14公開中
LitCovid-PubTator 22.6 KJin-Dong Kim2020-04-21公開中
CORD-19-PD-MONDO 6.32 MJin-Dong Kim2020-04-30公開中
CORD-19-PD-UBERON 1.42 MJin-Dong Kim2020-04-30公開中
LitCovid-PD-FMA-UBERON 4.29 KJin-Dong Kim2020-05-10公開中
LitCovid-PD-MONDO 13.4 KJin-Dong Kim2020-05-10公開中
CORD-19-PD-HP 1.15 MJin-Dong Kim2020-05-12公開中
LitCovid-PD-HP 3.02 KJin-Dong Kim2020-05-25公開中
LitCovid-OGER-BB 223 KFabio RinaldiNico Colic2020-06-04公開中
DisGeNET 3.12 MNuria Queralt Jin-Dong Kim2016-01-28ベータ
NEUROSES 2.15 Mnestoralvaro2016-02-24ベータ
bionlp-st-ge-2016-uniprot 16.2 KDBCLSJin-Dong Kim2016-05-22ベータ
Ab3P-abbreviations 2.34 KSunghwan Sohn, Donald C Comeau, Won Kim and W John Wilburcomeau2016-07-29ベータ
PubCasesHPO 3.2 MToyofumi Fujiwara2017-09-06ベータ
PubCasesORDO 869 KToyofumi Fujiwara2017-09-14ベータ
QFMC_MEDLINE 5.97 KAurélie NévéolPierre Zweigenbaum2018-01-24ベータ
Genomics_Informatics 35.3 KHyun-Seok Parkewha-bio2018-11-27ベータ
blah6_medical_device 0Stefano Rensitherightstef2020-02-13ベータ
LitCovid-PAS-Enju 125 KJin-Dong Kim2020-03-25ベータ
PubmedHPO 12.4 MTudor Grozatudor2020-04-01ベータ