Matches in SemOpenAlex for { <https://semopenalex.org/work/W2951864354> ?p ?o ?g. }
Showing items 1 to 100 of
100
with 100 items per page.
- W2951864354 abstract "Inter-sentence relation extraction deals with a number of complex semantic relationships in documents, which require local, non-local, syntactic and semantic dependencies. Existing methods do not fully exploit such dependencies. We present a novel inter-sentence relation extraction model that builds a labelled edge graph convolutional neural network model on a document-level graph. The graph is constructed using various inter- and intra-sentence dependencies to capture local and non-local dependency information. In order to predict the relation of an entity pair, we utilise multi-instance learning with bi-affine pairwise scoring. Experimental results show that our model achieves comparable performance to the state-of-the-art neural models on two biochemistry datasets. Our analysis shows that all the types in the graph are effective for inter-sentence relation extraction." @default.
- W2951864354 created "2019-06-27" @default.
- W2951864354 creator A5002276017 @default.
- W2951864354 creator A5002307731 @default.
- W2951864354 creator A5067084702 @default.
- W2951864354 creator A5077976343 @default.
- W2951864354 date "2019-06-11" @default.
- W2951864354 modified "2023-09-23" @default.
- W2951864354 title "Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network" @default.
- W2951864354 cites W1604644367 @default.
- W2951864354 cites W174427690 @default.
- W2951864354 cites W1832693441 @default.
- W2951864354 cites W1965893653 @default.
- W2951864354 cites W2120814856 @default.
- W2951864354 cites W2123442489 @default.
- W2951864354 cites W2155454737 @default.
- W2951864354 cites W2250539671 @default.
- W2951864354 cites W2251157338 @default.
- W2951864354 cites W2331398706 @default.
- W2951864354 cites W2341742436 @default.
- W2951864354 cites W2515462165 @default.
- W2951864354 cites W2600702321 @default.
- W2951864354 cites W2604372572 @default.
- W2951864354 cites W2662348822 @default.
- W2951864354 cites W2736196485 @default.
- W2951864354 cites W2799119017 @default.
- W2951864354 cites W2897782208 @default.
- W2951864354 cites W2951598942 @default.
- W2951864354 cites W2963020213 @default.
- W2951864354 cites W2963021258 @default.
- W2951864354 cites W2963171262 @default.
- W2951864354 cites W2963254740 @default.
- W2951864354 cites W2964121744 @default.
- W2951864354 cites W2964167098 @default.
- W2951864354 cites W2964321699 @default.
- W2951864354 hasPublicationYear "2019" @default.
- W2951864354 type Work @default.
- W2951864354 sameAs 2951864354 @default.
- W2951864354 citedByCount "4" @default.
- W2951864354 countsByYear W29518643542019 @default.
- W2951864354 countsByYear W29518643542020 @default.
- W2951864354 countsByYear W29518643542021 @default.
- W2951864354 crossrefType "posted-content" @default.
- W2951864354 hasAuthorship W2951864354A5002276017 @default.
- W2951864354 hasAuthorship W2951864354A5002307731 @default.
- W2951864354 hasAuthorship W2951864354A5067084702 @default.
- W2951864354 hasAuthorship W2951864354A5077976343 @default.
- W2951864354 hasConcept C124101348 @default.
- W2951864354 hasConcept C132525143 @default.
- W2951864354 hasConcept C153604712 @default.
- W2951864354 hasConcept C154945302 @default.
- W2951864354 hasConcept C165696696 @default.
- W2951864354 hasConcept C184898388 @default.
- W2951864354 hasConcept C195807954 @default.
- W2951864354 hasConcept C204321447 @default.
- W2951864354 hasConcept C25343380 @default.
- W2951864354 hasConcept C2777530160 @default.
- W2951864354 hasConcept C38652104 @default.
- W2951864354 hasConcept C41008148 @default.
- W2951864354 hasConcept C80444323 @default.
- W2951864354 hasConcept C81363708 @default.
- W2951864354 hasConceptScore W2951864354C124101348 @default.
- W2951864354 hasConceptScore W2951864354C132525143 @default.
- W2951864354 hasConceptScore W2951864354C153604712 @default.
- W2951864354 hasConceptScore W2951864354C154945302 @default.
- W2951864354 hasConceptScore W2951864354C165696696 @default.
- W2951864354 hasConceptScore W2951864354C184898388 @default.
- W2951864354 hasConceptScore W2951864354C195807954 @default.
- W2951864354 hasConceptScore W2951864354C204321447 @default.
- W2951864354 hasConceptScore W2951864354C25343380 @default.
- W2951864354 hasConceptScore W2951864354C2777530160 @default.
- W2951864354 hasConceptScore W2951864354C38652104 @default.
- W2951864354 hasConceptScore W2951864354C41008148 @default.
- W2951864354 hasConceptScore W2951864354C80444323 @default.
- W2951864354 hasConceptScore W2951864354C81363708 @default.
- W2951864354 hasOpenAccess W2951864354 @default.
- W2951864354 hasRelatedWork W2250521169 @default.
- W2951864354 hasRelatedWork W2250539671 @default.
- W2951864354 hasRelatedWork W2582717519 @default.
- W2951864354 hasRelatedWork W2626778328 @default.
- W2951864354 hasRelatedWork W2742203259 @default.
- W2951864354 hasRelatedWork W2896685023 @default.
- W2951864354 hasRelatedWork W2963014179 @default.
- W2951864354 hasRelatedWork W2963020213 @default.
- W2951864354 hasRelatedWork W2980362870 @default.
- W2951864354 hasRelatedWork W3002034242 @default.
- W2951864354 hasRelatedWork W3018957889 @default.
- W2951864354 hasRelatedWork W3023947208 @default.
- W2951864354 hasRelatedWork W3089375000 @default.
- W2951864354 hasRelatedWork W3109662464 @default.
- W2951864354 hasRelatedWork W3162158718 @default.
- W2951864354 hasRelatedWork W3188999884 @default.
- W2951864354 hasRelatedWork W3197470930 @default.
- W2951864354 hasRelatedWork W3201549088 @default.
- W2951864354 hasRelatedWork W2976710456 @default.
- W2951864354 hasRelatedWork W3113728816 @default.
- W2951864354 isParatext "false" @default.
- W2951864354 isRetracted "false" @default.
- W2951864354 magId "2951864354" @default.
- W2951864354 workType "article" @default.