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BioRED: a rich biomedical relation extraction dataset
Briefings in Bioinformatics, 2022Ling Luo, Po-Ting Lai, Chih-Hsuan Wei
exaly
Towards generic relation extraction.
2010A vast amount of usable electronic data is in the form of unstructured text. The relation extraction task aims to identify useful information in text (e.g., PersonW works for OrganisationX, GeneY encodes ProteinZ) and recode it in a format such as a relational database that can be more effectively used for querying and automated reasoning.
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Semantic relation extraction using sequential and tree-structured LSTM with attention
Information Sciences, 2020Zhiqiang Geng +2 more
exaly
Knowledge-enhanced event relation extraction via event ontology prompt
Information Fusion, 2023Ling Zhuang, Hao Fei
exaly
An Approach for Domain Relation Extraction
2022 IEEE 11th Global Conference on Consumer Electronics (GCCE), 2022Jiahui Wang, Kun Yue, Liang Duan
openaire +1 more source
Deep learning models for spatial relation extraction in text
Geo-Spatial Information Science, 2023Peng Ye
exaly
A region-based hypergraph network for joint entity-relation extraction
Knowledge-Based Systems, 2021Qian Wan, Luona Wei, Xinhai Chen
exaly

