Relation extraction with weakly supervised learning based on process-structure-property-performance reciprocity.

Onishi, Takeshi; Kadohira, Takuya; Watanabe, Ikumu

Onishi, Takeshi; Kadohira, Takuya; Watanabe, Ikumu.

Afiliación

Onishi T; Toyota Technological Institute at Chicago, Chicago, IL, USA.
Kadohira T; Research and Services Division of Materials Data and Integrated System, National Institute for Materials Science, Tsukuba, Ibaraki, Japan.
Watanabe I; Research Center for Structural Materials, National Institute for Materials Science, Ibaraki, Tsukuba, Japan.

Sci Technol Adv Mater ; 19(1): 649-659, 2018.

Article en En | MEDLINE | ID: mdl-30245757

Palabras clave

404 Materials informatics / Genomics; 60 New topics/Others; Natural language processing; knowledge extraction; materials informatics; relation extraction; weakly supervised learning

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sci Technol Adv Mater Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

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