Matches in SemOpenAlex for { <https://semopenalex.org/work/W4319165154> ?p ?o ?g. }
- W4319165154 abstract "Automatic emotion recognition in conversation (ERC) is crucial for emotion-aware conversational artificial intelligence. This paper proposes a distribution-based framework that formulates ERC as a sequence-to-sequence problem for emotion distribution estimation. The inherent ambiguity of emotions and the subjectivity of human perception lead to disagreements in emotion labels, which is handled naturally in our framework from the perspective of uncertainty estimation in emotion distributions. A Bayesian training loss is introduced to improve the uncertainty estimation by conditioning each emotional state on an utterance-specific Dirichlet prior distribution. Experimental results on the IEMOCAP dataset show that ERC outperformed the single-utterance-based system, and the proposed distribution-based ERC methods have not only better classification accuracy, but also show improved uncertainty estimation." @default.
- W4319165154 created "2023-02-04" @default.
- W4319165154 creator A5002191410 @default.
- W4319165154 creator A5079268196 @default.
- W4319165154 creator A5089966579 @default.
- W4319165154 date "2023-01-09" @default.
- W4319165154 modified "2023-09-23" @default.
- W4319165154 title "Distribution-Based Emotion Recognition in Conversation" @default.
- W4319165154 cites W1494198834 @default.
- W4319165154 cites W1983836044 @default.
- W4319165154 cites W2016589492 @default.
- W4319165154 cites W2078833921 @default.
- W4319165154 cites W2146334809 @default.
- W4319165154 cites W2164186291 @default.
- W4319165154 cites W2169166781 @default.
- W4319165154 cites W2170653751 @default.
- W4319165154 cites W2170876097 @default.
- W4319165154 cites W2342475039 @default.
- W4319165154 cites W2552810951 @default.
- W4319165154 cites W2749891261 @default.
- W4319165154 cites W2801959488 @default.
- W4319165154 cites W2805662932 @default.
- W4319165154 cites W2889286050 @default.
- W4319165154 cites W2894458059 @default.
- W4319165154 cites W2939987519 @default.
- W4319165154 cites W2962770129 @default.
- W4319165154 cites W2963104701 @default.
- W4319165154 cites W2963702064 @default.
- W4319165154 cites W2964300796 @default.
- W4319165154 cites W2965453734 @default.
- W4319165154 cites W2985076077 @default.
- W4319165154 cites W2985882473 @default.
- W4319165154 cites W3015707499 @default.
- W4319165154 cites W3016232306 @default.
- W4319165154 cites W3093501662 @default.
- W4319165154 cites W3096723250 @default.
- W4319165154 cites W3145204487 @default.
- W4319165154 cites W3197101920 @default.
- W4319165154 cites W3197974236 @default.
- W4319165154 cites W3209059054 @default.
- W4319165154 cites W3209984917 @default.
- W4319165154 cites W3215440557 @default.
- W4319165154 cites W4221162872 @default.
- W4319165154 cites W4224918181 @default.
- W4319165154 cites W4225635674 @default.
- W4319165154 cites W4226442973 @default.
- W4319165154 cites W4281492411 @default.
- W4319165154 cites W4309391683 @default.
- W4319165154 doi "https://doi.org/10.1109/slt54892.2023.10022800" @default.
- W4319165154 hasPublicationYear "2023" @default.
- W4319165154 type Work @default.
- W4319165154 citedByCount "0" @default.
- W4319165154 crossrefType "proceedings-article" @default.
- W4319165154 hasAuthorship W4319165154A5002191410 @default.
- W4319165154 hasAuthorship W4319165154A5079268196 @default.
- W4319165154 hasAuthorship W4319165154A5089966579 @default.
- W4319165154 hasBestOaLocation W43191651542 @default.
- W4319165154 hasConcept C107673813 @default.
- W4319165154 hasConcept C119857082 @default.
- W4319165154 hasConcept C153180895 @default.
- W4319165154 hasConcept C154945302 @default.
- W4319165154 hasConcept C15744967 @default.
- W4319165154 hasConcept C169760540 @default.
- W4319165154 hasConcept C199360897 @default.
- W4319165154 hasConcept C204321447 @default.
- W4319165154 hasConcept C23224414 @default.
- W4319165154 hasConcept C26760741 @default.
- W4319165154 hasConcept C2775852435 @default.
- W4319165154 hasConcept C2777200299 @default.
- W4319165154 hasConcept C2777438025 @default.
- W4319165154 hasConcept C2778112365 @default.
- W4319165154 hasConcept C2780522230 @default.
- W4319165154 hasConcept C28490314 @default.
- W4319165154 hasConcept C41008148 @default.
- W4319165154 hasConcept C46312422 @default.
- W4319165154 hasConcept C54355233 @default.
- W4319165154 hasConcept C86803240 @default.
- W4319165154 hasConceptScore W4319165154C107673813 @default.
- W4319165154 hasConceptScore W4319165154C119857082 @default.
- W4319165154 hasConceptScore W4319165154C153180895 @default.
- W4319165154 hasConceptScore W4319165154C154945302 @default.
- W4319165154 hasConceptScore W4319165154C15744967 @default.
- W4319165154 hasConceptScore W4319165154C169760540 @default.
- W4319165154 hasConceptScore W4319165154C199360897 @default.
- W4319165154 hasConceptScore W4319165154C204321447 @default.
- W4319165154 hasConceptScore W4319165154C23224414 @default.
- W4319165154 hasConceptScore W4319165154C26760741 @default.
- W4319165154 hasConceptScore W4319165154C2775852435 @default.
- W4319165154 hasConceptScore W4319165154C2777200299 @default.
- W4319165154 hasConceptScore W4319165154C2777438025 @default.
- W4319165154 hasConceptScore W4319165154C2778112365 @default.
- W4319165154 hasConceptScore W4319165154C2780522230 @default.
- W4319165154 hasConceptScore W4319165154C28490314 @default.
- W4319165154 hasConceptScore W4319165154C41008148 @default.
- W4319165154 hasConceptScore W4319165154C46312422 @default.
- W4319165154 hasConceptScore W4319165154C54355233 @default.
- W4319165154 hasConceptScore W4319165154C86803240 @default.
- W4319165154 hasFunder F4320321848 @default.
- W4319165154 hasFunder F4320334627 @default.
- W4319165154 hasLocation W43191651541 @default.