Enriched Pre-trained Transformers for Joint Slot Filling and Intent
This work proposes an intent pooling attention mechanism, and it reinforces the slot filling task by fusing intent distributions, word features, and token
Inverted-Attention Transformers can Learn Object Representations transformers slot
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transformers slot Unsupervised Learning of Temporal Abstractions With Slot-Based Transformers Neural Comput 2023 Mar 18;35:593-626 doi: neco_a_01567
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