PubMed:32230995 / 985-1291 JSONTXT

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    LitCovid-OGER-BB

    {"project":"LitCovid-OGER-BB","denotations":[{"id":"T12","span":{"begin":273,"end":284},"obj":"NCBITaxon:11118"},{"id":"T13","span":{"begin":296,"end":304},"obj":"SP_7"}],"namespaces":[{"prefix":"NCBITaxon","uri":"https://www.ncbi.nlm.nih.gov/taxonomy/"}],"text":"Computational results demonstrate that the proposed algorithm significantly outperforms several existing algorithms and obtains high-quality solutions on real-world problem instances for high-risk individual transfer in Hangzhou, China, during the peak period of the novel coronavirus pneumonia (COVID-19)."}

    LitCovid-sentences-v1

    {"project":"LitCovid-sentences-v1","denotations":[{"id":"TextSentencer_T8","span":{"begin":0,"end":306},"obj":"Sentence"}],"text":"Computational results demonstrate that the proposed algorithm significantly outperforms several existing algorithms and obtains high-quality solutions on real-world problem instances for high-risk individual transfer in Hangzhou, China, during the peak period of the novel coronavirus pneumonia (COVID-19)."}

    LitCovid-TimeML

    {"project":"LitCovid-TimeML","denotations":[{"id":"tok157","span":{"begin":0,"end":13},"obj":"NNP"},{"id":"tok158","span":{"begin":14,"end":21},"obj":"NNS"},{"id":"tok159","span":{"begin":22,"end":33},"obj":"VBP"},{"id":"tok160","span":{"begin":34,"end":38},"obj":"IN"},{"id":"tok161","span":{"begin":39,"end":42},"obj":"DT"},{"id":"tok162","span":{"begin":43,"end":51},"obj":"VBN"},{"id":"tok163","span":{"begin":52,"end":61},"obj":"NN"},{"id":"tok164","span":{"begin":62,"end":75},"obj":"RB"},{"id":"tok165","span":{"begin":76,"end":87},"obj":"VBZ"},{"id":"tok166","span":{"begin":88,"end":95},"obj":"JJ"},{"id":"tok167","span":{"begin":96,"end":104},"obj":"VBG"},{"id":"tok168","span":{"begin":105,"end":115},"obj":"NNS"},{"id":"tok169","span":{"begin":116,"end":119},"obj":"CC"},{"id":"tok170","span":{"begin":120,"end":127},"obj":"NNS"},{"id":"tok171","span":{"begin":128,"end":140},"obj":"JJ"},{"id":"tok172","span":{"begin":141,"end":150},"obj":"NNS"},{"id":"tok173","span":{"begin":151,"end":153},"obj":"IN"},{"id":"tok174","span":{"begin":154,"end":164},"obj":"JJ"},{"id":"tok175","span":{"begin":165,"end":172},"obj":"NN"},{"id":"tok176","span":{"begin":173,"end":182},"obj":"NNS"},{"id":"tok177","span":{"begin":183,"end":186},"obj":"IN"},{"id":"tok178","span":{"begin":187,"end":196},"obj":"JJ"},{"id":"tok179","span":{"begin":197,"end":207},"obj":"JJ"},{"id":"tok180","span":{"begin":208,"end":216},"obj":"NN"},{"id":"tok181","span":{"begin":217,"end":219},"obj":"IN"},{"id":"tok182","span":{"begin":220,"end":228},"obj":"NNP"},{"id":"tok183","span":{"begin":228,"end":229},"obj":","},{"id":"tok184","span":{"begin":230,"end":235},"obj":"NNP"},{"id":"tok185","span":{"begin":235,"end":236},"obj":","},{"id":"tok186","span":{"begin":237,"end":243},"obj":"IN"},{"id":"tok187","span":{"begin":244,"end":247},"obj":"DT"},{"id":"tok188","span":{"begin":248,"end":252},"obj":"NN"},{"id":"tok189","span":{"begin":253,"end":259},"obj":"NN"},{"id":"tok190","span":{"begin":260,"end":262},"obj":"IN"},{"id":"tok191","span":{"begin":263,"end":266},"obj":"DT"},{"id":"tok192","span":{"begin":267,"end":272},"obj":"NN"},{"id":"tok193","span":{"begin":273,"end":284},"obj":"JJ"},{"id":"tok194","span":{"begin":285,"end":294},"obj":"NN"},{"id":"tok195","span":{"begin":295,"end":296},"obj":"("},{"id":"tok196","span":{"begin":296,"end":302},"obj":"NNP"},{"id":"tok197","span":{"begin":302,"end":304},"obj":"CD"},{"id":"tok198","span":{"begin":304,"end":305},"obj":")"},{"id":"tok199","span":{"begin":305,"end":306},"obj":"."},{"id":"lookup17","span":{"begin":217,"end":219},"obj":"country_code"},{"id":"lookup18","span":{"begin":220,"end":228},"obj":"location"},{"id":"lookup19","span":{"begin":230,"end":235},"obj":"location"},{"id":"event10","span":{"begin":76,"end":87},"obj":"OCCURRENCE"}],"text":"Computational results demonstrate that the proposed algorithm significantly outperforms several existing algorithms and obtains high-quality solutions on real-world problem instances for high-risk individual transfer in Hangzhou, China, during the peak period of the novel coronavirus pneumonia (COVID-19)."}

    LitCovid-PD-MONDO-v1

    {"project":"LitCovid-PD-MONDO-v1","denotations":[{"id":"T1","span":{"begin":285,"end":294},"obj":"Disease"},{"id":"T2","span":{"begin":296,"end":304},"obj":"Disease"}],"attributes":[{"id":"A1","pred":"mondo_id","subj":"T1","obj":"http://purl.obolibrary.org/obo/MONDO_0005249"},{"id":"A2","pred":"mondo_id","subj":"T2","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"}],"text":"Computational results demonstrate that the proposed algorithm significantly outperforms several existing algorithms and obtains high-quality solutions on real-world problem instances for high-risk individual transfer in Hangzhou, China, during the peak period of the novel coronavirus pneumonia (COVID-19)."}

    LitCovid-PD-HP-v1

    {"project":"LitCovid-PD-HP-v1","denotations":[{"id":"T1","span":{"begin":285,"end":294},"obj":"Phenotype"}],"attributes":[{"id":"A1","pred":"hp_id","subj":"T1","obj":"http://purl.obolibrary.org/obo/HP_0002090"}],"text":"Computational results demonstrate that the proposed algorithm significantly outperforms several existing algorithms and obtains high-quality solutions on real-world problem instances for high-risk individual transfer in Hangzhou, China, during the peak period of the novel coronavirus pneumonia (COVID-19)."}