Traditional Chinese medicine entity relation extraction based on CNN with segment attention
Sign Up to like & getrecommendations! Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-05897-9
Abstract: Extracting medical entity relations from Traditional Chinese Medicine (TCM) related article is crucial to connect domain knowledge between TCM with modern medicine. Herb accounts for the majority of Traditional Chinese Medicine, so our work mainly… read more here.
Keywords: medicine; traditional chinese; chinese medicine; entity ... See more keywords
Multi-View Graph Neural Architecture Search for Biomedical Entity and Relation Extraction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2022.3205113
Abstract: Recently, graph neural architecture search (GNAS) frameworks have been successfully used to automatically design the optimal neural architectures for many problems such as node classification and graph classification. In the existing GNAS frameworks, the designed… read more here.
Keywords: view; view graph; relation extraction; multi view ... See more keywords
RTJTN: Relational Triplet Joint Tagging Network for Joint Entity and Relation Extraction
Sign Up to like & getrecommendations! Published in 2021 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2021/3447473
Abstract: Extracting entities and relations from unstructured sentences is one of the most concerned tasks in the field of natural language processing. However, most existing works process entity and relation information in a certain order and… read more here.
Keywords: relational triplet; network; entity relation; relation ... See more keywords
Span-based single-stage joint entity-relation extraction model
Sign Up to like & getrecommendations! Published in 2023 at "PLOS ONE"
DOI: 10.1371/journal.pone.0281055
Abstract: Extracting entities and relations from the unstructured text has attracted increasing attention in recent years. The existing work has achieved considerable results, yet it is difficult to solve entity overlap and exposure bias. To address… read more here.
Keywords: entity; relation extraction; model; entity relation ... See more keywords
A Text-Generated Method to Joint Extraction of Entities and Relations
Sign Up to like & getrecommendations! Published in 2019 at "Applied Sciences"
DOI: 10.3390/app9183795
Abstract: Entity-relation extraction is a basic task in natural language processing, and recently, the use of deep-learning methods, especially the Long Short-Term Memory (LSTM) network, has achieved remarkable performance. However, most of the existing entity-relation extraction… read more here.
Keywords: extraction; text generated; entity relation; generated method ... See more keywords