| Training_Data_Spanish_es_en | | | 0 | | wmtbio | 2023-11-28 | Developing | |
| bionlp-ost-19-BB-norm-test | | | 2.05 K | | ldeleger | 2023-11-28 | Developing | |
| bionlp-ost-19-SeeDev-bin-test | | | 2.32 K | | ldeleger | 2023-11-28 | Developing | |
| funRiceGenes-exact | | | 841 | | Yue Wang | 2023-11-28 | Developing | |
| WikiPainGoldStandard | | Wiki-pain contains molecular interactions that are relevant to pain. | 878 | Daniel Jamieson | nikolamilosevic | 2023-11-28 | Developing | |
| uniprot-mouse | | Protein annotation based on UniProt | 11.5 K | | Jin-Dong Kim | 2023-11-28 | Developing | |
| bionlp-st-cg-2013-training | | The training dataset from the cancer genetics task in the BioNLP Shared Task 2013.
Composed of anatomical and molecular entities. | 10.9 K | NaCTeM | Yue Wang | 2023-11-28 | Released | |
| bionlp-st-2016-SeeDev-training | | Entities and event annotations from the training set of the BioNLP-ST 2016 SeeDev task.
SeeDev task focuses on seed storage and reserve accumulation on the model organism, Arabidopsis thaliana. The SeeDev task is based on the knowledge model Gene Regulation Network for Arabidopsis (GRNA) that meets the needs of text-mining (i.e. manual annotation of texts and automatic information extraction), experimental data indexing and retrieval and reuse in other plant systems. It is also expected to meet the requirements of the integration of the text knowledge with knowledge derived from experimental data in view of modeling in systems biology.
GRNA model defines 16 different types of entities, and 22 types of event (in five sets of event types) that may be combined in complex events.
For more information, please refer to the task website
All annotations :
Train set
Development set
Test set (without events)
| 35 | | EstelleChaix | 2023-11-28 | Released | |
| KAIST_NLP_Annotation8 | | | 5.02 K | | kaist_nlp | 2023-11-28 | Developing | |
| LitCovid-sample-Pubtator | | | 3.86 K | | Jin-Dong Kim | 2023-11-28 | Uploading | |
| twitter-test | | | 13 | | Jin-Dong Kim | 2023-11-28 | Developing | |
| pubmed-2016 | | abstracts published in 2016 | 0 | | Jin-Dong Kim | 2023-11-28 | | |
| GlyCosmos600-CLO | | | 1.73 K | | Jin-Dong Kim | 2023-11-28 | Testing | |
| glycosmos-test-glycan-structure | | | 448 | | ISSAKU YAMADA | 2023-11-28 | Testing | |
| ENG_RE_CONSENSUS | | | 250 | | dpavot | 2023-11-28 | | |
| bionlp-ost-19-SeeDev-bin-dev | | | 2.58 K | | ldeleger | 2023-11-28 | Developing | |
| Glycosmos6-GlycoEpitope | | Automatic annotation by PD-GlycoEpitope. | 19.9 K | | Jin-Dong Kim | 2023-11-28 | Developing | |
| LitCovid-sample-PD-UBERON | | PubDictionaries annotation for UBERON terms - updated at 2020-04-30
It is annotation for anatomical entities 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.
| 310 | | Jin-Dong Kim | 2023-11-28 | Beta | |
| SPECIES800 | | SPECIES 800 (S800): an abstract-based manually annotated corpus. S800 comprises 800 PubMed abstracts in which organism mentions were identified and mapped to the corresponding NCBI Taxonomy identifiers.
Described in:
The SPECIES and ORGANISMS Resources for Fast and Accurate Identification of Taxonomic Names in Text.
Pafilis E, Frankild SP, Fanini L, Faulwetter S, Pavloudi C, et al. (2013). PLoS ONE, 2013, 8(6): e65390. doi:10.1371/journal.pone.0065390 | 3.71 K | Evangelos Pafilis, Sune P. Frankild, Lucia Fanini, Sarah Faulwetter, Christina Pavloudi, Aikaterini Vasileiadou, Christos Arvanitidis, Lars Juhl Jensen | evangelos | 2023-11-28 | Released | |
| SMAFIRA_Methods | | Predictions for methods for the SMAFIRA project. | 0 | | zebet | 2023-11-28 | Developing | |
