| test_disfluency_annotation_auto_jp | | | 0 | | Jin-Dong Kim | 2023-12-28 | Testing | |
| DocumentLevelAnnotationSample | | A sample project for document level annotation | 47 | | Jin-Dong Kim | 2023-11-29 | Testing | |
| LitCovid-sample-PD-NCBITaxon | | | 1.35 K | | Jin-Dong Kim | 2023-11-29 | Beta | |
| DisGeNet-2017-sample | | | 2.93 K | | Jin-Dong Kim | 2023-11-29 | Testing | |
| GO-MF | | Annotation for molecular functions as defined in the "Molecular Function" subtree of Gene Ontology | 19.7 K | DBCLS | Jin-Dong Kim | 2023-12-04 | Testing | |
| CORD-19_Commercial_use_subset | | The Commercial use subset of the CORD-19 dataset.
The documents in this project will be updated as the CORD-19 dataset grows.
See the COVID DATASET LICENSE AGREEMENT. | 0 | | Jin-Dong Kim | 2023-11-29 | Released | |
| semrep-sample | | Sample annotation of SemRep, produced by Rindflesch, et al.
Rindflesch, T.C. and Fiszman, M. (2003). The interaction of domain knowledge and linguistic structure in natural language processing: interpreting hypernymic propositions in biomedical text. Journal of Biomedical Informatics, 36(6):462-477. | 11.1 K | Rindflesch et al. | Jin-Dong Kim | 2023-11-29 | Testing | |
| LitCovid-sample-HP | | | 0 | | Jin-Dong Kim | 2023-11-29 | Testing | |
| LitCovid-sample-PD-IDO | | | 1.27 K | | Jin-Dong Kim | 2023-11-28 | Beta | |
| LitCovid-PD-MONDO-v1 | | 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 K | | Jin-Dong Kim | 2023-11-29 | Released | |
| bionlp-st-ge-2016-reference-eval | | | 426 | | Jin-Dong Kim | 2023-11-29 | Testing | |
| GlyCosmos600-GlycanStructure | | | 97 | | Jin-Dong Kim | 2023-11-29 | Testing | |
| example-dialog | | | 0 | | Jin-Dong Kim | 2023-11-27 | Testing | |
| 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 M | | Jin-Dong Kim | 2023-11-29 | Released | |
| GlyCosmos600-docs | | A random collection of 600 PubMed abstracts from 6 glycobiology-related journals: Glycobiology, Glycoconjugate journal, The Journal of biological chemistry, Journal of proteome research, Journal of proteomics, and Carbohydrate research. The whole PMIDs were collected on June 11, 2019. From each journal, 100 PMIDs were randomly sampled. | 0 | | Jin-Dong Kim | 2023-11-29 | Released | |
| CORD-19-sample-IDO | | | 76 | | Jin-Dong Kim | 2023-11-29 | Developing | |
| bionlp-st-ge-2016-reference | | It is the benchmark reference data set of the BioNLP-ST 2016 GE task.
It includes Genia-style event annotations to 20 full paper articles which are about NFκB proteins.
The task is to develop an automatic annotation system which can produce annotation similar to the annotation in this data set as much as possible.
For evaluation of the performance of a participating system, the system needs to produce annotations to the documents in the benchmark test data set (bionlp-st-ge-2016-test).
GE 2016 benchmark data set is provided as multi-layer annotations which include:
bionlp-st-ge-2016-reference: benchmark reference data set (this project)
bionlp-st-ge-2016-test: benchmark test data set (annotations are blined)
bionlp-st-ge-2016-test-proteins: protein annotation to the benchmark test data set
Following is supporting resources:
bionlp-st-ge-2016-coref: coreference annotation
bionlp-st-ge-2016-uniprot: Protein annotation with UniProt IDs.
pmc-enju-pas: dependency parsing result produced by Enju
UBERON-AE: annotation for anatomical entities as defined in UBERON
ICD10: annotation for disease names as defined in ICD10
GO-BP: annotation for biological process names as defined in GO
GO-CC: annotation for cellular component names as defined in GO
A SPARQL-driven search interface is provided at http://bionlp.dbcls.jp/sparql. | 14.4 K | DBCLS | Jin-Dong Kim | 2023-11-29 | Released | |
| LitCovid-sample-PD-MONDO | | | 1.21 K | | Jin-Dong Kim | 2023-11-27 | Developing | |
| uniprot-mouse | | Protein annotation based on UniProt | 11.5 K | | Jin-Dong Kim | 2023-11-28 | Developing | |
| LitCovid-TimeML | | | 426 K | | Jin-Dong Kim | 2023-11-29 | Developing | |
