Matches in SemOpenAlex for { <https://semopenalex.org/work/W2953296721> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W2953296721 abstract "Convolutional neural network (CNN) and recurrent neural network (RNN) models have become the mainstream methods for relation classification. We propose a unified architecture, which exploits the advantages of CNN and RNN simultaneously, to identify medical relations in clinical records, with only word embedding features. Our model learns phrase-level features through a CNN layer, and these feature representations are directly fed into a bidirectional gated recurrent unit (GRU) layer to capture long-term feature dependencies. We evaluate our model on two clinical datasets, and experiments demonstrate that our model performs significantly better than previous single-model methods on both datasets." @default.
- W2953296721 created "2019-06-27" @default.
- W2953296721 creator A5012962057 @default.
- W2953296721 creator A5051590067 @default.
- W2953296721 creator A5079956921 @default.
- W2953296721 date "2018-07-29" @default.
- W2953296721 modified "2023-09-23" @default.
- W2953296721 title "Convolutional Gated Recurrent Units for Medical Relation Classification" @default.
- W2953296721 cites W1887754209 @default.
- W2953296721 cites W1889268436 @default.
- W2953296721 cites W2013355692 @default.
- W2953296721 cites W2095705004 @default.
- W2953296721 cites W2099779943 @default.
- W2953296721 cites W2129367118 @default.
- W2953296721 cites W2138627627 @default.
- W2953296721 cites W2144499799 @default.
- W2953296721 cites W2168041406 @default.
- W2953296721 cites W2207937072 @default.
- W2953296721 cites W2396881363 @default.
- W2953296721 cites W2466511670 @default.
- W2953296721 cites W2553519899 @default.
- W2953296721 cites W2740114211 @default.
- W2953296721 cites W2768377508 @default.
- W2953296721 cites W2950371387 @default.
- W2953296721 cites W2964217331 @default.
- W2953296721 cites W2964308564 @default.
- W2953296721 doi "https://doi.org/10.48550/arxiv.1807.11082" @default.
- W2953296721 hasPublicationYear "2018" @default.
- W2953296721 type Work @default.
- W2953296721 sameAs 2953296721 @default.
- W2953296721 citedByCount "0" @default.
- W2953296721 crossrefType "posted-content" @default.
- W2953296721 hasAuthorship W2953296721A5012962057 @default.
- W2953296721 hasAuthorship W2953296721A5051590067 @default.
- W2953296721 hasAuthorship W2953296721A5079956921 @default.
- W2953296721 hasBestOaLocation W29532967211 @default.
- W2953296721 hasConcept C124101348 @default.
- W2953296721 hasConcept C138885662 @default.
- W2953296721 hasConcept C147168706 @default.
- W2953296721 hasConcept C153180895 @default.
- W2953296721 hasConcept C154945302 @default.
- W2953296721 hasConcept C165696696 @default.
- W2953296721 hasConcept C178790620 @default.
- W2953296721 hasConcept C185592680 @default.
- W2953296721 hasConcept C204321447 @default.
- W2953296721 hasConcept C25343380 @default.
- W2953296721 hasConcept C2776224158 @default.
- W2953296721 hasConcept C2776401178 @default.
- W2953296721 hasConcept C2777462759 @default.
- W2953296721 hasConcept C2779227376 @default.
- W2953296721 hasConcept C38652104 @default.
- W2953296721 hasConcept C41008148 @default.
- W2953296721 hasConcept C41608201 @default.
- W2953296721 hasConcept C41895202 @default.
- W2953296721 hasConcept C50644808 @default.
- W2953296721 hasConcept C81363708 @default.
- W2953296721 hasConceptScore W2953296721C124101348 @default.
- W2953296721 hasConceptScore W2953296721C138885662 @default.
- W2953296721 hasConceptScore W2953296721C147168706 @default.
- W2953296721 hasConceptScore W2953296721C153180895 @default.
- W2953296721 hasConceptScore W2953296721C154945302 @default.
- W2953296721 hasConceptScore W2953296721C165696696 @default.
- W2953296721 hasConceptScore W2953296721C178790620 @default.
- W2953296721 hasConceptScore W2953296721C185592680 @default.
- W2953296721 hasConceptScore W2953296721C204321447 @default.
- W2953296721 hasConceptScore W2953296721C25343380 @default.
- W2953296721 hasConceptScore W2953296721C2776224158 @default.
- W2953296721 hasConceptScore W2953296721C2776401178 @default.
- W2953296721 hasConceptScore W2953296721C2777462759 @default.
- W2953296721 hasConceptScore W2953296721C2779227376 @default.
- W2953296721 hasConceptScore W2953296721C38652104 @default.
- W2953296721 hasConceptScore W2953296721C41008148 @default.
- W2953296721 hasConceptScore W2953296721C41608201 @default.
- W2953296721 hasConceptScore W2953296721C41895202 @default.
- W2953296721 hasConceptScore W2953296721C50644808 @default.
- W2953296721 hasConceptScore W2953296721C81363708 @default.
- W2953296721 hasLocation W29532967211 @default.
- W2953296721 hasOpenAccess W2953296721 @default.
- W2953296721 hasPrimaryLocation W29532967211 @default.
- W2953296721 hasRelatedWork W2295021132 @default.
- W2953296721 hasRelatedWork W2369308426 @default.
- W2953296721 hasRelatedWork W2767651786 @default.
- W2953296721 hasRelatedWork W2886673456 @default.
- W2953296721 hasRelatedWork W2887213206 @default.
- W2953296721 hasRelatedWork W2912288872 @default.
- W2953296721 hasRelatedWork W3106036237 @default.
- W2953296721 hasRelatedWork W3134737443 @default.
- W2953296721 hasRelatedWork W4312163393 @default.
- W2953296721 hasRelatedWork W564581980 @default.
- W2953296721 isParatext "false" @default.
- W2953296721 isRetracted "false" @default.
- W2953296721 magId "2953296721" @default.
- W2953296721 workType "article" @default.