| korean_corpus_dep | | | 0 | | donghwan kim | 2019-04-23 | | |
| korean_corpus_pos | | | 0 | | donghwan kim | 2023-11-27 | | |
| korean_corpus_sample | | | 53 | | donghwan kim | 2023-11-29 | Testing | |
| KoreanFN-example | | Korean FrameNet example | 6 | | Jin-Dong Kim | 2023-11-29 | Developing | |
| Lectin | | | 3.52 K | | angata | 2023-11-28 | | |
| LitCoin-entities | | | 13.6 K | | Jin-Dong Kim | 2023-11-29 | Testing | |
| LitCovid_AGAC_only | | | 5.73 K | | xiajingbo | 2023-11-29 | | |
| LitCovid-ArguminSci | | Discourse elements for the documents in the LitCovid dataset.
Annotations were automatically predicted by the ArguminSci tool (https://github.com/anlausch/ArguminSci) | 4.9 K | | zebet | 2023-11-27 | Released | |
| LitCovid_Glycan-Motif-Structure | | PubDictionaries annotation for glycan-Motif terms. | 6.51 K | | ISSAKU YAMADA | 2023-11-29 | Beta | |
| LitCovid-manual | | | 540 | | Jin-Dong Kim | 2023-11-30 | Developing | |
| LitCovid-PD-MONDO | | | 2.26 M | | Jin-Dong Kim | 2023-11-24 | | |
| LitCovid-PD-UBERON | | | 540 K | | Jin-Dong Kim | 2023-11-29 | | |
| LitCovid-sample-docs | | A comprehensive literature resource on the subject of Covid-19 is collected by NCBI:
https://www.ncbi.nlm.nih.gov/research/coronavirus/
The LitCovid project@PubAnnotation is a collection of the titles and abstracts of the LitCovid dataset, for the people who want to perform text mining analysis. Please note that if you produce some annotation to the documents in this project, and contribute the annotation back to PubAnnotation, it will become publicly available together with contribution from other people.
If you want to contribute your annotation to PubAnnotation, please refer to the documentation page:
http://www.pubannotation.org/docs/submit-annotation/
The list of the PMID is sourced from here
Below is a notice from the original LitCovid dataset:
PUBLIC DOMAIN NOTICE
National Center for Biotechnology Information
This software/database is a "United States Government Work" under the
terms of the United States Copyright Act. It was written as part of
the author's official duties as a United States Government employee and
thus cannot be copyrighted. This software/database is freely available
to the public for use. The National Library of Medicine and the U.S.
Government have not placed any restriction on its use or reproduction.
Although all reasonable efforts have been taken to ensure the accuracy
and reliability of the software and data, the NLM and the U.S.
Government do not and cannot warrant the performance or results that
may be obtained by using this software or data. The NLM and the U.S.
Government disclaim all warranties, express or implied, including
warranties of performance, merchantability or fitness for any particular
purpose.
Please cite the authors in any work or product based on this material :
Chen Q, Allot A, & Lu Z. (2020) Keep up with the latest coronavirus research, Nature 579:193
| 0 | | Jin-Dong Kim | 2023-11-29 | Uploading | |
| LitCovid-v1-docs | | A comprehensive literature resource on the subject of Covid-19 is collected by NCBI:
https://www.ncbi.nlm.nih.gov/research/coronavirus/
The LitCovid project@PubAnnotation is a collection of the titles and abstracts of the LitCovid dataset, for the people who want to perform text mining analysis. Please note that if you produce some annotation to the documents in this project, and contribute the annotation back to PubAnnotation, it will become publicly available together with contribution from other people.
If you want to contribute your annotation to PubAnnotation, please refer to the documentation page:
http://www.pubannotation.org/docs/submit-annotation/
The list of the PMID is sourced from here
The 6 entries of the following PMIDs could not be included because they were not available from PubMed:32161394,
32104909,
32090470,
32076224,
32161394
32188956,
32238946.
Below is a notice from the original LitCovid dataset:
PUBLIC DOMAIN NOTICE
National Center for Biotechnology Information
This software/database is a "United States Government Work" under the
terms of the United States Copyright Act. It was written as part of
the author's official duties as a United States Government employee and
thus cannot be copyrighted. This software/database is freely available
to the public for use. The National Library of Medicine and the U.S.
Government have not placed any restriction on its use or reproduction.
Although all reasonable efforts have been taken to ensure the accuracy
and reliability of the software and data, the NLM and the U.S.
Government do not and cannot warrant the performance or results that
may be obtained by using this software or data. The NLM and the U.S.
Government disclaim all warranties, express or implied, including
warranties of performance, merchantability or fitness for any particular
purpose.
Please cite the authors in any work or product based on this material :
Chen Q, Allot A, & Lu Z. (2020) Keep up with the latest coronavirus research, Nature 579:193
| 0 | | Jin-Dong Kim | 2023-11-29 | Released | |
| LocText | | The manually annotated corpus consists of 100 PubMed abstracts annotated for proteins, subcellular localizations, organisms and relations between them. The focus of the corpus is on annotation of proteins and their subcellular localizations. | 2.29 K | Goldberg et al | Shrikant Vinchurkar | 2023-11-29 | Released | |
| LODQA | | | 0 | Michel Dumontier | micheldumontier | 2015-02-20 | Testing | |
| MeasurableQuantitativeAnnotation | | A collection and annotation the measurable quantity information from 3202 pubmed article, which can be used for the task of extracting measurable quantity information.
Annotation category: entity, num, unit. | 2.84 K | WenjieNie | | 2023-11-29 | Testing | |
| med-device | | | 434 | | laurenc | 2023-11-27 | Developing | |
| medical_relation | | This is about medical inner relation. | 0 | ruleryang | ruleryang | 2023-11-29 | Testing | |
| metamap-sample | | Sample annotation of MetaMep, produced by Aronson, et al.
An overview of MetaMap: historical perspective and recent advances, JAMIA 2010 | 10.9 K | Alan R Aronson | Jin-Dong Kim | 2023-11-27 | Testing | |
