| Genomics_Inform | | | 0 | | Sophie Nam | 2023-11-29 | | |
| 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 K | Hyun-Seok Park | ewha-bio | 2023-11-29 | Beta | |
| Genomics_fulltext | | | 0 | | Sophie Nam | 2023-11-29 | | |
| Age_blah | | | 1.9 K | | slee7268 | 2023-11-29 | Beta | |
| Nucleic_Acids | | | 0 | | Sophie Nam | 2023-11-29 | | |
| AlvisNLP-Test | | Project for testing AlviNLP PubAnnotation server during BLAH3. | 17 | | Bibliome | 2023-11-29 | Testing | |
| American_Journal | | | 0 | | Sophie Nam | 2023-11-29 | | |
| AnEM_abstracts | | 250 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. | 1.91 K | NaCTeM | Yue Wang | 2023-11-29 | Released | |
| 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. | 687 | NaCTeM | Yue Wang | 2023-11-29 | Uploading | |
| AxD_symptoms | | Symptoms of AxD from available case report and case series | 401 | | Eisuke Dohi | 2023-11-29 | Developing | |
| BLAH2015_Annotations_Adderall | | | 0 | nestoralvaro | nestoralvaro | 2023-11-29 | Testing | |
| BioLarkPubmedHPO | | 228 abstracts manually annotated with Human Phenotype Ontology (HPO) concepts and harmonized by three curators, which can be used as a reference standard for free text annotation of human phenotypes. For more info, please see Groza et al. "Automatic concept recognition using the human phenotype ontology reference and test suite corpora", 2015. | 7.16 K | Tudor Groza | simon | 2023-11-29 | Released | |
| Briefings | | | 0 | | Sophie Nam | 2023-11-29 | | |
| CORD-19_All_docs | | All the documents in the whole 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 | |
| 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 | |
| CORD-19_HIRAKI | | HIRAKI Annotation for CORD-19 | 2.98 K | | AikoHIRAKI | 2023-11-29 | Testing | |
| CORD-19_Non-commercial_use_subset | | The Non 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 | |
| CORD-19_bioRxiv_medRxiv_subset | | The bioRxiv/medRxiv subset of the CORD-19 dataset: pre-prints that are not peer reviewed.
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 | |
| Test-GeneOrGeneProduct | | | 1.17 K | | Jin-Dong Kim | 2023-11-29 | | |
| GlycoBiology-FMA | | FMA ontology-based annotation to GlycoBiology abstracts | 96.3 K | | Jin-Dong Kim | 2023-11-29 | Testing | |
