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1 Introduction to BLAH5 special issue: recent progress on interoperability of biomedical text mining
Kim, Jin-Dong;Cohen, Kevin Bretonnel;Collier, Nigel;Lu, Zhiyong;Rinaldi, Fabio; / Korea Genome Organization , v.17, no.2, pp.12.1-12.2,
2 Fully connecting the Observational Health Data Science and Informatics (OHDSI) initiative with the world of linked open data
Banda, Juan M.; / Korea Genome Organization , v.17, no.2, pp.13.1-13.3,
3 Biotea-2-Bioschemas, facilitating structured markup for semantically annotated scholarly publications
Garcia, Leyla;Giraldo, Olga;Garcia, Alexander;Rebholz-Schuhmann, Dietrich; / Korea Genome Organization , v.17, no.2, pp.14.1-14.6,
4 PharmacoNER Tagger: a deep learning-based tool for automatically finding chemicals and drugs in Spanish medical texts
Armengol-Estape, Jordi;Soares, Felipe;Marimon, Montserrat;Krallinger, Martin; / Korea Genome Organization , v.17, no.2, pp.15.1-15.7,
5 Resources for assigning MeSH IDs to Japanese medical terms
Tateisi, Yuka; / Korea Genome Organization , v.17, no.2, pp.16.1-16.4,
6 OryzaGP: rice gene and protein dataset for named-entity recognition
Larmande, Pierre;Do, Huy;Wang, Yue; / Korea Genome Organization , v.17, no.2, pp.17.1-17.3,
7 A review of drug knowledge discovery using BioNLP and tensor or matrix decomposition
Gachloo, Mina;Wang, Yuxing;Xia, Jingbo; / Korea Genome Organization , v.17, no.2, pp.18.1-18.10,
8 Towards cross-platform interoperability for machine-assisted text annotation
de Castilho, Richard Eckart;Ide, Nancy;Kim, Jin-Dong;Klie, Jan-Christoph;Suderman, Keith; / Korea Genome Organization , v.17, no.2, pp.19.1-19.10,
9 Improving methods for normalizing biomedical text entities with concepts from an ontology with (almost) no training data at BLAH5 the CONTES
Ferre, Arnaud;Ba, Mouhamadou;Bossy, Robert; / Korea Genome Organization , v.17, no.2, pp.20.1-20.5,
10 Improving spaCy dependency annotation and PoS tagging web service using independent NER services
Colic, Nico;Rinaldi, Fabio; / Korea Genome Organization , v.17, no.2, pp.21.1-21.6,