Matches in SemOpenAlex for { <https://semopenalex.org/work/W3206170218> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W3206170218 endingPage "687" @default.
- W3206170218 startingPage "676" @default.
- W3206170218 abstract "Sentence ordering is a task arranging the given unordered text into the correct order. A feasible approach is to use neural networks to predict the relative order of all sentence pairs and then organize the sentences into a coherent paragraph with topological sort. However, current methods rarely utilize the context information, which is essential for deciding the relative order of the sentence pair. Based on this observation, we propose an efficient approach context-enhanced pairwise comparison network (CPCN) that leverages both the context and sentence pair information in a post-fusion manner to order a sentence pair. To obtain the paragraph context embedding, CPCN first utilizes BERT to encode all sentences, then aggregates them using a Transformer followed by an average pooling layer. Finally, CPCN predicts the relative order of the sentence pair by the concatenation of the paragraph embedding and the sentence pair embedding. Our experiments on three benchmark datasets, SIND, NIPS and AAN show that our model outperforms all the existing models significantly and achieves a new state-of-the-art performance, which demonstrates the effectiveness of incorporating context information." @default.
- W3206170218 created "2021-10-25" @default.
- W3206170218 creator A5037132097 @default.
- W3206170218 creator A5045742543 @default.
- W3206170218 creator A5085407854 @default.
- W3206170218 date "2021-01-01" @default.
- W3206170218 modified "2023-09-24" @default.
- W3206170218 title "Sentence Ordering by Context-Enhanced Pairwise Comparison" @default.
- W3206170218 cites W2110568314 @default.
- W3206170218 cites W2125814131 @default.
- W3206170218 cites W2140676672 @default.
- W3206170218 cites W2169546346 @default.
- W3206170218 cites W2251356693 @default.
- W3206170218 cites W2776762669 @default.
- W3206170218 cites W2891109311 @default.
- W3206170218 cites W2905032972 @default.
- W3206170218 cites W2914855263 @default.
- W3206170218 cites W2950590791 @default.
- W3206170218 cites W2952138241 @default.
- W3206170218 cites W2963482033 @default.
- W3206170218 cites W2964972381 @default.
- W3206170218 cites W2996876695 @default.
- W3206170218 cites W2998106530 @default.
- W3206170218 cites W2998259434 @default.
- W3206170218 cites W3021868432 @default.
- W3206170218 cites W3087871082 @default.
- W3206170218 cites W3176616156 @default.
- W3206170218 doi "https://doi.org/10.1007/978-3-030-88480-2_54" @default.
- W3206170218 hasPublicationYear "2021" @default.
- W3206170218 type Work @default.
- W3206170218 sameAs 3206170218 @default.
- W3206170218 citedByCount "0" @default.
- W3206170218 crossrefType "book-chapter" @default.
- W3206170218 hasAuthorship W3206170218A5037132097 @default.
- W3206170218 hasAuthorship W3206170218A5045742543 @default.
- W3206170218 hasAuthorship W3206170218A5085407854 @default.
- W3206170218 hasConcept C138885662 @default.
- W3206170218 hasConcept C151730666 @default.
- W3206170218 hasConcept C154945302 @default.
- W3206170218 hasConcept C184898388 @default.
- W3206170218 hasConcept C204321447 @default.
- W3206170218 hasConcept C2777530160 @default.
- W3206170218 hasConcept C2779343474 @default.
- W3206170218 hasConcept C41008148 @default.
- W3206170218 hasConcept C41895202 @default.
- W3206170218 hasConcept C86803240 @default.
- W3206170218 hasConceptScore W3206170218C138885662 @default.
- W3206170218 hasConceptScore W3206170218C151730666 @default.
- W3206170218 hasConceptScore W3206170218C154945302 @default.
- W3206170218 hasConceptScore W3206170218C184898388 @default.
- W3206170218 hasConceptScore W3206170218C204321447 @default.
- W3206170218 hasConceptScore W3206170218C2777530160 @default.
- W3206170218 hasConceptScore W3206170218C2779343474 @default.
- W3206170218 hasConceptScore W3206170218C41008148 @default.
- W3206170218 hasConceptScore W3206170218C41895202 @default.
- W3206170218 hasConceptScore W3206170218C86803240 @default.
- W3206170218 hasLocation W32061702181 @default.
- W3206170218 hasOpenAccess W3206170218 @default.
- W3206170218 hasPrimaryLocation W32061702181 @default.
- W3206170218 hasRelatedWork W1517743118 @default.
- W3206170218 hasRelatedWork W1567338489 @default.
- W3206170218 hasRelatedWork W159132833 @default.
- W3206170218 hasRelatedWork W1978971213 @default.
- W3206170218 hasRelatedWork W2398825887 @default.
- W3206170218 hasRelatedWork W3024381485 @default.
- W3206170218 hasRelatedWork W3107474891 @default.
- W3206170218 hasRelatedWork W38394648 @default.
- W3206170218 hasRelatedWork W4286973469 @default.
- W3206170218 hasRelatedWork W4295267149 @default.
- W3206170218 isParatext "false" @default.
- W3206170218 isRetracted "false" @default.
- W3206170218 magId "3206170218" @default.
- W3206170218 workType "book-chapter" @default.