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Found 6 papers, 4 papers with code
Efficient slot labelling
Slot labelling is an essential component of any dialogue system, aiming to find important arguments in every user turn.
UNICON: A unified framework for behavior-based consumer segmentation in e-commerce
Data-driven personalization is a key practice in fashion e-commerce, improving the way businesses serve their consumers needs with more relevant content.
Where is the context? -- A critique of recent dialogue datasets
Recent dialogue datasets like MultiWOZ 2. 1 and Taskmaster-1 constitute some of the most challenging tasks for present-day dialogue models and, therefore, are widely used for system evaluation.
DIET: Lightweight Language Understanding for Dialogue Systems
Large-scale pre-trained language models have shown impressive results on language understanding benchmarks like GLUE and SuperGLUE, improving considerably over other pre-training methods like distributed representations (GloVe) and purely supervised approaches.
Dialogue Transformers
We introduce a dialogue policy based on a transformer architecture, where the self-attention mechanism operates over the sequence of dialogue turns.
Few-Shot Generalization Across Dialogue Tasks
Machine-learning based dialogue managers are able to learn complex behaviors in order to complete a task, but it is not straightforward to extend their capabilities to new domains.
