Learning heterogeneous information network embeddings via relational triplet network
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.06.043
Abstract: Abstract Network embedding algorithms learn low-dimensional features from the relationships and attributes of networks. The basic principle of these algorithms is to preserve the similarities in the original networks as much as possible. However, in… read more here.
Keywords: relational triplet; network; information network; heterogeneous information ... See more keywords
A Novel Tensor Learning Model for Joint Relational Triplet Extraction.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2023.3265851
Abstract: The relational triplet is a format to represent relational facts in the real world, which consists of two entities and a semantic relation between these two entities. Since the relational triplet is the essential component… read more here.
Keywords: triplet extraction; relational triplet; tensor; tensor learning ... 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