- PharmacoNER Tagger: a deep learning-based tool for automatically finding chemicals and drugs in Spanish medical texts
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Armengol-Estapé J, Soares F, Marimon M, Krallinger M
- KMID: 2462025
- Genomics Inform.
- 2019 Jun;17(2):e15.
- doi: 10.5808/GI.2019.17.2.e15
Automatically detecting mentions of pharmaceutical drugs and chemical substances is key for the subsequent extraction of relations of chemicals with other biomedical entities such as genes, proteins, diseases, adverse reactions... -
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- SciBabel: a system for crowd-sourced validation of automatic translations of scientific texts
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Soares F, Rebechi R, Stevenson M
- KMID: 2503646
- Genomics Inform.
- 2020 Jun;18(2):e21.
- doi: 10.5808/GI.2020.18.2.e21
Scientific research is mostly published in English, regardless of the researcher's nationality. However, this growing practice impairs or hinders the comprehension of professionals who depend on the results of these... -
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- Constructing Japanese MeSH term dictionaries related to the COVID-19 literature
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Yamaguchi A, Takatsuki T, Tateisi Y, Soares F
- KMID: 2521526
- Genomics Inform.
- 2021 Sep;19(3):e25.
- doi: 10.5808/gi.21012
The coronavirus disease 2019 (COVID-19) pandemic has led to a flood of research papers and the information has been updated with considerable frequency. For society to derive benefits from this... -
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- O-JMeSH: creating a bilingual English-Japanese controlled vocabulary of MeSH UIDs through machine translation and mutual information
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Soares F, Tateisi Y, Takatsuki T, Yamaguchi A
- KMID: 2521527
- Genomics Inform.
- 2021 Sep;19(3):e26.
- doi: 10.5808/gi.21014
Previous approaches to create a controlled vocabulary for Japanese have resorted to existing bilingual dictionary and transformation rules to allow such mappings. However, given the possible new terms introduced due... -
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