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• W3107053799 abstract "We present EmoCoder, a modular encoder-decoder architecture that generalizes emotion analysis over different tasks (sentence-level, word-level, label-to-label mapping), domains (natural languages and their registers), and label formats (e.g., polarity classes, basic emotions, and affective dimensions). Experiments on 14 datasets indicate that EmoCoder learns an interpretable language-independent representation of emotions, allows seamless absorption of state-of-the-art models, and maintains strong prediction quality, even when tested on unseen combinations of domains and label formats." @default.
• W3107053799 created "2020-12-07" @default.
• W3107053799 creator A5029707385 @default.
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• W3107053799 date "2020-12-01" @default.
• W3107053799 modified "2023-09-27" @default.
• W3107053799 title "Towards a Unified Framework for Emotion Analysis." @default.
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• W3107053799 hasPublicationYear "2020" @default.
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