Mixed Feelings: Natural Text Generation with Variable, Coexistent Affective Categories (P18-3)
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| Challenge: | a recent study has shown that language models which can generate emotional sentences are limited to one affective category out of a few. |
| Approach: | a new research proposal proposes a language model which can produce multiple emotions simultaneously. authors propose to use a long-term memory language model to allow for variation in multiple emotions. |
| Outcome: | a new language model allows for variation in multiple emotions simultaneously . the proposed model is based on a model of long-term memory . |
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| Challenge: | Recent research has tackled this task using neural generative methods by augmenting emotion classes with the input sequences. |
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| Challenge: | Existing studies focus on the self and inter-personal dependencies in multi-modal conversations, but they ignore the temporal and spatial dependencies. |
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Haiyang Sun, Chenyang Le, Wei Wang, Leying Zhang, Chuang Li, Bing Han, Chenda Li, Mengxiao Bi, Yanmin Qian
| Challenge: | Existing systems rely on sentence-level labels, which fails to capture the subtle nuances of human affect. |
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