Papers with character-level language model utterance representation
A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks (L18-1)
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| Challenge: | Existing models of dialogue act classification work on the utterance-level and only very few consider context. |
| Approach: | They propose to use a character-level language model to classify dialogue acts without context . they find that the preceding utterances are a context of the current utterant . |
| Outcome: | The proposed method improves on the Switchboard Dialogue Act corpus . it includes context and leads to 3% higher accuracy . |