Matches in SemOpenAlex for { <https://semopenalex.org/work/W2945972326> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W2945972326 abstract "Contract analysis can significantly ease the work for humans using AI techniques. This paper shows a problem of Element Tagging on Insurance Policy (ETIP). A novel Text-Of-Interest Convolutional Neural Network (TOI-CNN) is proposed for the ETIP solution. We introduce a TOI pooling layer to replace traditional pooling layer for processing the nested phrasal or clausal elements in insurance policies. The advantage of TOI pooling layer is that the nested elements from one sentence could share computation and context in the forward and backward passes. The computation of backpropagation through TOI pooling is also demonstrated in the paper. We have collected a large Chinese insurance contract dataset and labeled the critical elements of seven categories to test the performance of the proposed method. The results show the promising performance of our method in the ETIP problem." @default.
- W2945972326 created "2019-05-29" @default.
- W2945972326 creator A5032090227 @default.
- W2945972326 creator A5050348542 @default.
- W2945972326 creator A5063525691 @default.
- W2945972326 creator A5070657531 @default.
- W2945972326 date "2019-01-01" @default.
- W2945972326 modified "2023-10-16" @default.
- W2945972326 cites W1592463163 @default.
- W2945972326 cites W1832693441 @default.
- W2945972326 cites W2014243748 @default.
- W2945972326 cites W2020278455 @default.
- W2945972326 cites W2035711370 @default.
- W2945972326 cites W2065840553 @default.
- W2945972326 cites W2153848201 @default.
- W2945972326 cites W2163107094 @default.
- W2945972326 cites W2165723799 @default.
- W2945972326 cites W2215206286 @default.
- W2945972326 cites W2397771608 @default.
- W2945972326 cites W2407338347 @default.
- W2945972326 cites W2767609139 @default.
- W2945972326 cites W2778931183 @default.
- W2945972326 cites W2779545291 @default.
- W2945972326 cites W2782912507 @default.
- W2945972326 cites W2803609931 @default.
- W2945972326 cites W2804221886 @default.
- W2945972326 cites W2904328064 @default.
- W2945972326 cites W2950577311 @default.
- W2945972326 cites W2964121744 @default.
- W2945972326 doi "https://doi.org/10.18653/v1/n19-2022" @default.
- W2945972326 hasPublicationYear "2019" @default.
- W2945972326 type Work @default.
- W2945972326 sameAs 2945972326 @default.
- W2945972326 citedByCount "1" @default.
- W2945972326 countsByYear W29459723262021 @default.
- W2945972326 crossrefType "proceedings-article" @default.
- W2945972326 hasAuthorship W2945972326A5032090227 @default.
- W2945972326 hasAuthorship W2945972326A5050348542 @default.
- W2945972326 hasAuthorship W2945972326A5063525691 @default.
- W2945972326 hasAuthorship W2945972326A5070657531 @default.
- W2945972326 hasConcept C11413529 @default.
- W2945972326 hasConcept C151730666 @default.
- W2945972326 hasConcept C154945302 @default.
- W2945972326 hasConcept C155032097 @default.
- W2945972326 hasConcept C178790620 @default.
- W2945972326 hasConcept C185592680 @default.
- W2945972326 hasConcept C204321447 @default.
- W2945972326 hasConcept C2777530160 @default.
- W2945972326 hasConcept C2779227376 @default.
- W2945972326 hasConcept C2779343474 @default.
- W2945972326 hasConcept C41008148 @default.
- W2945972326 hasConcept C45374587 @default.
- W2945972326 hasConcept C50644808 @default.
- W2945972326 hasConcept C70437156 @default.
- W2945972326 hasConcept C81363708 @default.
- W2945972326 hasConcept C86803240 @default.
- W2945972326 hasConceptScore W2945972326C11413529 @default.
- W2945972326 hasConceptScore W2945972326C151730666 @default.
- W2945972326 hasConceptScore W2945972326C154945302 @default.
- W2945972326 hasConceptScore W2945972326C155032097 @default.
- W2945972326 hasConceptScore W2945972326C178790620 @default.
- W2945972326 hasConceptScore W2945972326C185592680 @default.
- W2945972326 hasConceptScore W2945972326C204321447 @default.
- W2945972326 hasConceptScore W2945972326C2777530160 @default.
- W2945972326 hasConceptScore W2945972326C2779227376 @default.
- W2945972326 hasConceptScore W2945972326C2779343474 @default.
- W2945972326 hasConceptScore W2945972326C41008148 @default.
- W2945972326 hasConceptScore W2945972326C45374587 @default.
- W2945972326 hasConceptScore W2945972326C50644808 @default.
- W2945972326 hasConceptScore W2945972326C70437156 @default.
- W2945972326 hasConceptScore W2945972326C81363708 @default.
- W2945972326 hasConceptScore W2945972326C86803240 @default.
- W2945972326 hasLocation W29459723261 @default.
- W2945972326 hasOpenAccess W2945972326 @default.
- W2945972326 hasPrimaryLocation W29459723261 @default.
- W2945972326 hasRelatedWork W2074870855 @default.
- W2945972326 hasRelatedWork W2368694199 @default.
- W2945972326 hasRelatedWork W2744043610 @default.
- W2945972326 hasRelatedWork W2903926237 @default.
- W2945972326 hasRelatedWork W2945972326 @default.
- W2945972326 hasRelatedWork W2978290780 @default.
- W2945972326 hasRelatedWork W3002446410 @default.
- W2945972326 hasRelatedWork W3107474891 @default.
- W2945972326 hasRelatedWork W3173182854 @default.
- W2945972326 hasRelatedWork W4205530055 @default.
- W2945972326 isParatext "false" @default.
- W2945972326 isRetracted "false" @default.
- W2945972326 magId "2945972326" @default.
- W2945972326 workType "article" @default.