Character embedding-based Bi-LSTM for Zircon similarity calculation with clustering-Reference-Cited by-同舟云学术

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Character embedding-based Bi-LSTM for Zircon similarity calculation with clustering

Published:2022-08-04 Issue:3 Volume:15 Page:1417-1425
ISSN:1865-0473
Container-title:Earth Science Informatics
language:en
Short-container-title:Earth Sci Inform

Author:

Hu Xiangben,Hu Zhichen,Jiang Jielin,Xue Weiwei,Hu Xiumian,Xu Xiaolong

Funder

the National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences

Link

https://link.springer.com/content/pdf/10.1007/s12145-022-00847-y.pdf

Reference29 articles.

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2. Berant J, Deutch D, Globerson A, Milo T, Wolfson T (2019) Explaining queries over web tables to non-experts. In: 2019 IEEE 35th international conference on data engineering (ICDE). pp 1570–1573. https://doi.org/10.1109/ICDE.2019.00144

3. Bindeman IN, Melnik OE (2016) Zircon survival, rebirth and recycling during crustal melting, magma crystallization, and mixing based on numerical modelling. Journal of Petrology 57(3):437–460. https://doi.org/10.1093/petrology/egw013

4. Bruand E, Storey C, Fowler M (2014) Accessory mineral chemistry of high Ba-Sr granites from Northern Scotland: Constraints on petrogenesis and records of whole-rock signature. Journal of Petrology 55(8):1619–1651. https://doi.org/10.1093/petrology/egu037

5. Chamiran K, Rukshan A, Thayasivam U (2020) Automating web table columns to knowledge base mapping using translation embedding. In: 2020 IEEE 14th international conference on semantic computing (ICSC). pp 150–153. https://doi.org/10.1109/ICSC.2020.00029

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