Matches in SemOpenAlex for { <https://semopenalex.org/work/W3092029013> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W3092029013 endingPage "469" @default.
- W3092029013 startingPage "457" @default.
- W3092029013 abstract "Leveraging data from multiple related domains to enhance the model generalization performance is critical for transfer learning in text classification. However, most existing approaches try to separate the features into shared and private spaces regardless of correlations between domains, resulting in the inadequate features sharing among certain most related domains. In this paper, we propose a generic dual-channels multi-task learning framework for multi-domain text classification, which can capture global-shared, local-shared, and private features simultaneously. Our novel framework incorporates Adversarial network and Mixture of experts into a neural network for multi-domain text classification, which is very useful for sharing more features among domains. The extensive experiments on the real-world text classification data-sets across 16 domains demonstrate our proposed approach achieves better results than five state-of-the-art techniques." @default.
- W3092029013 created "2020-10-15" @default.
- W3092029013 creator A5047778449 @default.
- W3092029013 creator A5054464310 @default.
- W3092029013 creator A5083567474 @default.
- W3092029013 date "2020-01-01" @default.
- W3092029013 modified "2023-10-16" @default.
- W3092029013 title "Multi-domain Transfer Learning for Text Classification" @default.
- W3092029013 cites W2741239878 @default.
- W3092029013 cites W2804777280 @default.
- W3092029013 doi "https://doi.org/10.1007/978-3-030-60450-9_36" @default.
- W3092029013 hasPublicationYear "2020" @default.
- W3092029013 type Work @default.
- W3092029013 sameAs 3092029013 @default.
- W3092029013 citedByCount "3" @default.
- W3092029013 countsByYear W30920290132021 @default.
- W3092029013 countsByYear W30920290132022 @default.
- W3092029013 crossrefType "book-chapter" @default.
- W3092029013 hasAuthorship W3092029013A5047778449 @default.
- W3092029013 hasAuthorship W3092029013A5054464310 @default.
- W3092029013 hasAuthorship W3092029013A5083567474 @default.
- W3092029013 hasConcept C119857082 @default.
- W3092029013 hasConcept C124101348 @default.
- W3092029013 hasConcept C124952713 @default.
- W3092029013 hasConcept C134306372 @default.
- W3092029013 hasConcept C142362112 @default.
- W3092029013 hasConcept C150899416 @default.
- W3092029013 hasConcept C154945302 @default.
- W3092029013 hasConcept C162324750 @default.
- W3092029013 hasConcept C173608175 @default.
- W3092029013 hasConcept C177148314 @default.
- W3092029013 hasConcept C187736073 @default.
- W3092029013 hasConcept C2776175482 @default.
- W3092029013 hasConcept C2780451532 @default.
- W3092029013 hasConcept C2780980858 @default.
- W3092029013 hasConcept C33923547 @default.
- W3092029013 hasConcept C36503486 @default.
- W3092029013 hasConcept C37736160 @default.
- W3092029013 hasConcept C41008148 @default.
- W3092029013 hasConcept C50644808 @default.
- W3092029013 hasConceptScore W3092029013C119857082 @default.
- W3092029013 hasConceptScore W3092029013C124101348 @default.
- W3092029013 hasConceptScore W3092029013C124952713 @default.
- W3092029013 hasConceptScore W3092029013C134306372 @default.
- W3092029013 hasConceptScore W3092029013C142362112 @default.
- W3092029013 hasConceptScore W3092029013C150899416 @default.
- W3092029013 hasConceptScore W3092029013C154945302 @default.
- W3092029013 hasConceptScore W3092029013C162324750 @default.
- W3092029013 hasConceptScore W3092029013C173608175 @default.
- W3092029013 hasConceptScore W3092029013C177148314 @default.
- W3092029013 hasConceptScore W3092029013C187736073 @default.
- W3092029013 hasConceptScore W3092029013C2776175482 @default.
- W3092029013 hasConceptScore W3092029013C2780451532 @default.
- W3092029013 hasConceptScore W3092029013C2780980858 @default.
- W3092029013 hasConceptScore W3092029013C33923547 @default.
- W3092029013 hasConceptScore W3092029013C36503486 @default.
- W3092029013 hasConceptScore W3092029013C37736160 @default.
- W3092029013 hasConceptScore W3092029013C41008148 @default.
- W3092029013 hasConceptScore W3092029013C50644808 @default.
- W3092029013 hasLocation W30920290131 @default.
- W3092029013 hasOpenAccess W3092029013 @default.
- W3092029013 hasPrimaryLocation W30920290131 @default.
- W3092029013 hasRelatedWork W2960456850 @default.
- W3092029013 hasRelatedWork W2973196652 @default.
- W3092029013 hasRelatedWork W4213299466 @default.
- W3092029013 hasRelatedWork W4281382123 @default.
- W3092029013 hasRelatedWork W4293519462 @default.
- W3092029013 hasRelatedWork W4295850094 @default.
- W3092029013 hasRelatedWork W4308262314 @default.
- W3092029013 hasRelatedWork W4318834068 @default.
- W3092029013 hasRelatedWork W4379255972 @default.
- W3092029013 hasRelatedWork W1629725936 @default.
- W3092029013 isParatext "false" @default.
- W3092029013 isRetracted "false" @default.
- W3092029013 magId "3092029013" @default.
- W3092029013 workType "book-chapter" @default.