Annotated chemical patent corpus: a gold standard for text mining
about
Recognizing chemicals in patents: a comparative analysisAmbiguity of non-systematic chemical identifiers within and between small-molecule databasesManaging expectations: assessment of chemistry databases generated by automated extraction of chemical structures from patentsPatterns of database citation in articles and patents indicate long-term scientific and industry value of biological data resourcesChemical named entity recognition in patents by domain knowledge and unsupervised feature learningThe CHEMDNER corpus of chemicals and drugs and its annotation principlesNERChem: adapting NERBio to chemical patents via full-token features and named entity feature with chemical sub-class compositionChemical entity recognition in patents by combining dictionary-based and statistical approachesSureChEMBL: a large-scale, chemically annotated patent document database.Deep learning with word embeddings improves biomedical named entity recognition.
P2860
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P2860
Annotated chemical patent corpus: a gold standard for text mining
description
2014 nî lūn-bûn
@nan
2014 թուականին հրատարակուած գիտական յօդուած
@hyw
2014 թվականին հրատարակված գիտական հոդված
@hy
2014年の論文
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2014年論文
@yue
2014年論文
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2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Annotated chemical patent corpus: a gold standard for text mining
@ast
Annotated chemical patent corpus: a gold standard for text mining
@en
Annotated chemical patent corpus: a gold standard for text mining
@nl
type
label
Annotated chemical patent corpus: a gold standard for text mining
@ast
Annotated chemical patent corpus: a gold standard for text mining
@en
Annotated chemical patent corpus: a gold standard for text mining
@nl
prefLabel
Annotated chemical patent corpus: a gold standard for text mining
@ast
Annotated chemical patent corpus: a gold standard for text mining
@en
Annotated chemical patent corpus: a gold standard for text mining
@nl
P2093
P2860
P50
P3181
P1433
P1476
Annotated chemical patent corpus: a gold standard for text mining
@en
P2093
Alexander G Klenner
Anil K Manchala
Christian Tyrchan
Jan A Kors
Kiran Boppana
Marc Zimmermann
Saber A Akhondi
Sarma A R P Jagarlapudi
P2860
P304
P3181
P356
10.1371/JOURNAL.PONE.0107477
P407
P577
2014-01-01T00:00:00Z