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Vera Chung

As seen in: MDPI

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Articles

Joint Extraction of Entities and Relations Based on Enhanced Span and Gate Mechanism

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By Nan Zhang Verified, Qiang Cai, Vera Chung, Junfang Xin
| MDPI
1. Introduction Entity and relation extraction is an essential approach to acquiring knowledge and represents a crucial step in knowledge extraction. It holds significant value in understanding both natural language and world knowledge. With the deepening research in knowledge extraction, entity and relation extraction has garnered considerable attention from scholars. The concept of entity and relation extraction was introduced more than twenty years ago.
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Fotomics: Fourier transform-based omics imagification for deep learning based cell-identity mapping using single-cell omics profiles

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By Seid Miad Zandavi, Derong Liu, Vera Chung, Ali Anaissi
| biorxiv.org
Thank you for your interest in spreading the word about bioRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. Message Subject (Your Name) has forwarded a page to you from bioRxiv Message Body (Your Name) thought you would like to see this page from the bioRxiv website.
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Omics Imagification: Transforming High-throughput Molecular Representation of a Cell into an Image

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By Seid Miad Zandavi, Vera Chung, Derong Liu, Ali Anaissi
| biorxiv.org
Thank you for your interest in spreading the word about bioRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. Message Subject (Your Name) has forwarded a page to you from bioRxiv Message Body (Your Name) thought you would like to see this page from the bioRxiv website.
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