Takeshi Onishi
;
Takuya Kadohira
(National Institute for Materials Science
)
;
Ikumu Watanabe
(National Institute for Materials Science
)
説明:
(abstract)We developed a computer aided material design system that extracts relationships from natural language texts in weakly labeled data. We believe that our study makes a significant contribution to the literature because we trained a machine learning model with minimal annotated relation data to extract relationships between scientific concepts from scientific articles.
権利情報:
キーワード: Natural language processing, knowledge extraction, relation extraction, weakly supervised learning, materials informatics
刊行年月日: 2018-12-31
出版者: Informa UK Limited
掲載誌:
研究助成金:
原稿種別: 出版者版 (Version of record)
MDR DOI:
公開URL: https://doi.org/10.1080/14686996.2018.1500852
関連資料:
その他の識別子:
連絡先:
更新時刻: 2024-01-05 22:13:14 +0900
MDRでの公開時刻: 2023-02-17 09:32:02 +0900
| ファイル名 | サイズ | |||
|---|---|---|---|---|
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Relation extraction with weakly supervised learning based on process structure property performance reciprocity.pdf
(サムネイル)
application/pdf |
サイズ | 1.46MB | 詳細 |