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BioRED: a rich biomedical relation extraction dataset

Briefings in Bioinformatics, 2022
Ling Luo, Po-Ting Lai, Chih-Hsuan Wei
exaly  

Towards generic relation extraction.

2010
A 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.
openaire   +1 more source

Semantic relation extraction using sequential and tree-structured LSTM with attention

Information Sciences, 2020
Zhiqiang Geng   +2 more
exaly  

Knowledge-enhanced event relation extraction via event ontology prompt

Information Fusion, 2023
Ling Zhuang, Hao Fei
exaly  

An Approach for Domain Relation Extraction

2022 IEEE 11th Global Conference on Consumer Electronics (GCCE), 2022
Jiahui Wang, Kun Yue, Liang Duan
openaire   +1 more source

Knowledge guided distance supervision for biomedical relation extraction in Chinese electronic medical records

Expert Systems With Applications, 2022
Qing Zhao, Dezhong Xu, Jianqiang Li
exaly  

Deep learning models for spatial relation extraction in text

Geo-Spatial Information Science, 2023
Peng Ye
exaly  

A region-based hypergraph network for joint entity-relation extraction

Knowledge-Based Systems, 2021
Qian Wan, Luona Wei, Xinhai Chen
exaly  

Relation Extraction

2014
Vittorio Castelli, Imed Zitouni
openaire   +1 more source

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