| Presentation | 2019-05-31 Proposal for Automatic Extraction Framework of Superconductors Related Information from Scientific Literature Luca Foppiano, Thaer M. Dieb, Akira Suzuki, Masashi Ishii, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The automatic collection of materials information from research papers using Natural Language Processing (NLP) is highly required for rapid materials development using big data, namely materials informatics (MI). The difficulty of this automatic collection is mainly caused by the variety of expressions in the papers, a robust system with tolerance to such variety is required to be developed. In this paper, we report an ongoing interdisciplinary work to construct a system for automatic collection of superconductor-related information from scientific literature using text mining techniques. We focused on the identification of superconducting material names and their critical temperature (Tc) key property. We discuss the construction of a prototype for extraction and linking using machine learning (ML) techniques for the physical information collection. From the evaluation using 500 sample documents, we define a baseline and a direction for future improvements. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | material informatics / superconductors / machine learning / nlp / tdm |
| Paper # | SC2019-1 |
| Date of Issue | 2019-05-24 (SC) |
| Conference Information | |
| Committee | SC |
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| Conference Date | 2019/5/31(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | National Institute for Materials Science |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Science Service Platform, Data Service and Machine Learning, etc |
| Chair | Masahide Nakamura(Kobe Univ.) |
| Vice Chair | Shinji Kikuchi(National Institute for Materials Science) / Yoji Yamato(NTT) |
| Secretary | Shinji Kikuchi(Tokyo University of Technology) / Yoji Yamato(Fujitsu Lab.) |
| Assistant | |
| Paper Information | |
| Registration To | Technical Committee on Service Computing |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Proposal for Automatic Extraction Framework of Superconductors Related Information from Scientific Literature |
| Sub Title (in English) | |
| Keyword(1) | material informatics |
| Keyword(2) | superconductors |
| Keyword(3) | machine learning |
| Keyword(4) | nlp |
| Keyword(5) | tdm |
| 1st Author's Name | Luca Foppiano |
| 1st Author's Affiliation | National Institute for Materials Science(NIMS) |
| 2nd Author's Name | Thaer M. Dieb |
| 2nd Author's Affiliation | National Institute for Materials Science(NIMS) |
| 3rd Author's Name | Akira Suzuki |
| 3rd Author's Affiliation | National Institute for Materials Science(NIMS) |
| 4th Author's Name | Masashi Ishii |
| 4th Author's Affiliation | National Institute for Materials Science(NIMS) |
| Date | 2019-05-31 |
| Paper # | SC2019-1 |
| Volume (vol) | vol.119 |
| Number (no) | SC-66 |
| Page | pp.pp.1-5(SC), |
| #Pages | 5 |
| Date of Issue | 2019-05-24 (SC) |