References
- Hernandez LA, Callahan TJ, Banda JM. A biomedically oriented automatically annotated Twitter COVID-19 dataset. Genomics Inform 2021;19:e21. https://doi.org/10.5808/gi.21011
- Lithgow-Serrano O, Cornelius J, Kanjirangat V, Mendez-Cruz CF, Rinaldi F. Improving classification of low-resource COVID-19 literature by using Named Entity Recognition. Genomics Inform 2021;19:e22. https://doi.org/10.5808/gi.21018
- Chen Q, Allot A, Lu Z. LitCovid: an open database of COVID-19 literature. Nucleic Acids Res 2021;49:D1534-D1540. https://doi.org/10.1093/nar/gkaa952
- Basaldella M, Furrer L, Tasso C, Rinaldi F. Entity recognition in the biomedical domain using a hybrid approach. J Biomed Semantics 2017;8:51. https://doi.org/10.1186/s13326-017-0157-6
- Ouyang S, Wang Y, Zhou K, Xia J. LitCovid-AGAC: cellular and molecular level annotation data set based on COVID-19. Genomics Inform 2021;19:e23. https://doi.org/10.5808/gi.21013
- Wang Y, Zhou K, Kim JD, Cohen KB, Gachloo M, Ren Y, et al. An active gene annotation corpus and its application on anti-epilepsy drug discovery. In: IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019 Nov 18-21, San Diego, CA, USA. New York: Institute of Electrical and Electronics Engineers, 2019.
- Wei CH, Kao HY, Lu Z. PubTator: a web-based text mining tool for assisting biocuration. Nucleic Acids Res 2013;41:W518-W522. https://doi.org/10.1093/nar/gkt441
- Barros M, Ruas P, Sousa D, Bangash AH, Couto FM. COVID-19 recommender system based on an annotated multilingual corpus. Genomics Inform 2021;19:e24. https://doi.org/10.5808/gi.21008
- Yamaguchi A, Takatsuki T, Tateisi Y, Soares F. Constructing Japanese MeSH term dictionaries related to the COVID-19 literature. Genomics Inform 2021;19:e25. https://doi.org/10.5808/gi.21012
- Soares F, Tateisi Y, Takatsuki T, Yamaguchi A. O-JMeSH: creating a bilingual English-Japanese controlled vocabulary of MeSH UIDs through machine translation and mutual information. Genomics Inform 2021;19:e26. https://doi.org/10.5808/gi.21014
- Larmande P, Liu Y, Yao X, Xia J. OryzaGP 2021 update: a rice gene and protein dataset for named-entity recognition. Genomics Inform 2021;19:e27. https://doi.org/10.5808/gi.21015
- Larmande P, Do H, Wang Y. OryzaGP: rice gene and protein dataset for named-entity recognition. Genomics Inform 2019;17:e17. https://doi.org/10.5808/GI.2019.17.2.e17
- Dohi E, Bangash AH. Visualizing the phenotype diversity: a case study of Alexander disease. Genomics Inform 2021;19:e28. https://doi.org/10.5808/gi.21016
- Kim JD, Wang Y, Fujiwara T, Okuda S, Callahan TJ, Cohen KB. Open Agile text mining for bioinformatics: the PubAnnotation ecosystem. Bioinformatics 2019;35:4372-4380. https://doi.org/10.1093/bioinformatics/btz227