PolymerAbstracts
Introduced by Shetty et al. in A general-purpose material property data extraction pipeline from large polymer corpora using Natural Language Processing
A dataset of 750 polymer abstracts annotated with the entity types: POLYMER, POLYMER_CLASS, PROPERTY_VALUE, PROPERTY_NAME, MONOMER, ORGANIC_MATERIAL, INORGANIC_MATERIAL, and MATERIAL_AMOUNT. This data set was annotated for training a named entity recognition model for these entity types.
Papers
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