Papers by Xinzhong Sun
A Transformer-based Threshold-Free Framework for Multi-Intent NLU (2022.coling-1)
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| Challenge: | Existing models for multi-intent natural language understanding mainly detect multiple intents on threshold settings. |
| Approach: | They propose a transformer-based multi-intent NLU model with multi-task learning that exploits the information of the number of multiple intents in each utterance without additional manual annotations. |
| Outcome: | The proposed model achieves superior results on two public multi-intent datasets. |