FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3134966150> ?p ?o ?g. }

• W3134966150 endingPage "288" @default.
• W3134966150 startingPage "279" @default.
• W3134966150 abstract "Recently, emotion recognition in conversation (ERC) has become more crucial in the development of diverse Internet of Things devices, especially closely connected with users. The majority of deep learning-based methods for ERC combine the multilayer, bidirectional, recurrent feature extractor and the attention module to extract sequential features. In addition to this, the latest model utilizes speaker information and the relationship between utterances through the graph network. However, before the input is fed into the bidirectional recurrent module, detailed intrautterance features should be obtained without variation of characteristics. In this article, we propose a residual-based graph convolution network (RGCN) and a new loss function. Our RGCN contains the residual network (ResNet)-based, intrautterance feature extractor and the GCN-based, interutterance feature extractor to fully exploit the intra-inter informative features. In the intrautterance feature extractor based on ResNet, the elaborate context feature for each independent utterance can be produced. Then, the condensed feature can be obtained through an additional GCN-based, interutterance feature extractor with the neighboring associated features for a conversation. The proposed loss function reflects the edge weight to improve effectiveness. Experimental results demonstrate that the proposed method achieves superior performance compared with state-of-the-art methods." @default.
• W3134966150 created "2021-03-15" @default.
• W3134966150 creator A5033726593 @default.
• W3134966150 creator A5038892398 @default.
• W3134966150 creator A5086788524 @default.
• W3134966150 date "2021-08-01" @default.
• W3134966150 modified "2023-09-26" @default.
• W3134966150 title "Residual-Based Graph Convolutional Network for Emotion Recognition in Conversation for Smart Internet of Things" @default.
• W3134966150 cites W1832693441 @default.
• W3134966150 cites W2011722134 @default.
• W3134966150 cites W2049434052 @default.
• W3134966150 cites W2064675550 @default.
• W3134966150 cites W2096044513 @default.
• W3134966150 cites W2116341502 @default.
• W3134966150 cites W2146334809 @default.
• W3134966150 cites W2157331557 @default.
• W3134966150 cites W2194775991 @default.
• W3134966150 cites W2234281713 @default.
• W3134966150 cites W2250539671 @default.
• W3134966150 cites W2604314403 @default.
• W3134966150 cites W2618530766 @default.
• W3134966150 cites W2740550900 @default.
• W3134966150 cites W2766718178 @default.
• W3134966150 cites W2791506524 @default.
• W3134966150 cites W2805662932 @default.
• W3134966150 cites W2886286739 @default.
• W3134966150 cites W2891359673 @default.
• W3134966150 cites W2955429306 @default.
• W3134966150 cites W2962739339 @default.
• W3134966150 cites W2963091558 @default.
• W3134966150 cites W2963686995 @default.
• W3134966150 cites W2963873807 @default.
• W3134966150 cites W2964300796 @default.
• W3134966150 cites W2965669158 @default.
• W3134966150 cites W2970431814 @default.
• W3134966150 cites W2985882473 @default.
• W3134966150 cites W3006183307 @default.
• W3134966150 doi "https://doi.org/10.1089/big.2020.0274" @default.
• W3134966150 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33656371" @default.
• W3134966150 hasPublicationYear "2021" @default.
• W3134966150 type Work @default.
• W3134966150 sameAs 3134966150 @default.
• W3134966150 citedByCount "17" @default.
• W3134966150 countsByYear W31349661502021 @default.
• W3134966150 countsByYear W31349661502022 @default.
• W3134966150 countsByYear W31349661502023 @default.
• W3134966150 crossrefType "journal-article" @default.
• W3134966150 hasAuthorship W3134966150A5033726593 @default.
• W3134966150 hasAuthorship W3134966150A5038892398 @default.
• W3134966150 hasAuthorship W3134966150A5086788524 @default.
• W3134966150 hasConcept C110875604 @default.
• W3134966150 hasConcept C11413529 @default.
• W3134966150 hasConcept C117978034 @default.
• W3134966150 hasConcept C127413603 @default.
• W3134966150 hasConcept C132525143 @default.
• W3134966150 hasConcept C136764020 @default.
• W3134966150 hasConcept C138885662 @default.
• W3134966150 hasConcept C153180895 @default.
• W3134966150 hasConcept C154945302 @default.
• W3134966150 hasConcept C155512373 @default.
• W3134966150 hasConcept C21880701 @default.
• W3134966150 hasConcept C2776401178 @default.
• W3134966150 hasConcept C2777200299 @default.
• W3134966150 hasConcept C28490314 @default.
• W3134966150 hasConcept C41008148 @default.
• W3134966150 hasConcept C41895202 @default.
• W3134966150 hasConcept C52622490 @default.
• W3134966150 hasConcept C80444323 @default.
• W3134966150 hasConcept C81363708 @default.
• W3134966150 hasConceptScore W3134966150C110875604 @default.
• W3134966150 hasConceptScore W3134966150C11413529 @default.
• W3134966150 hasConceptScore W3134966150C117978034 @default.
• W3134966150 hasConceptScore W3134966150C127413603 @default.
• W3134966150 hasConceptScore W3134966150C132525143 @default.
• W3134966150 hasConceptScore W3134966150C136764020 @default.
• W3134966150 hasConceptScore W3134966150C138885662 @default.
• W3134966150 hasConceptScore W3134966150C153180895 @default.
• W3134966150 hasConceptScore W3134966150C154945302 @default.
• W3134966150 hasConceptScore W3134966150C155512373 @default.
• W3134966150 hasConceptScore W3134966150C21880701 @default.
• W3134966150 hasConceptScore W3134966150C2776401178 @default.
• W3134966150 hasConceptScore W3134966150C2777200299 @default.
• W3134966150 hasConceptScore W3134966150C28490314 @default.
• W3134966150 hasConceptScore W3134966150C41008148 @default.
• W3134966150 hasConceptScore W3134966150C41895202 @default.
• W3134966150 hasConceptScore W3134966150C52622490 @default.
• W3134966150 hasConceptScore W3134966150C80444323 @default.
• W3134966150 hasConceptScore W3134966150C81363708 @default.
• W3134966150 hasIssue "4" @default.
• W3134966150 hasLocation W31349661501 @default.
• W3134966150 hasLocation W31349661502 @default.
• W3134966150 hasOpenAccess W3134966150 @default.
• W3134966150 hasPrimaryLocation W31349661501 @default.
• W3134966150 hasRelatedWork W1964120219 @default.
• W3134966150 hasRelatedWork W2144059113 @default.
• W3134966150 hasRelatedWork W2146076056 @default.
• W3134966150 hasRelatedWork W2546942002 @default.
• W3134966150 hasRelatedWork W2767090503 @default.

• next