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Found 4 papers, 2 papers with code
Attention Modulation for Zero-Shot Cross-Domain Dialogue State Tracking
Dialog state tracking (DST) is a core step for task-oriented dialogue systems aiming to track the user’s current goal during a dialogue.
Analyzing BERT Cross-lingual Transfer Capabilities in Continual Sequence Labeling
Knowledge transfer between neural language models is a widely used technique that has proven to improve performance in a multitude of natural language tasks, in particular with the recent rise of large pre-trained language models like BERT.
Evaluate On-the-job Learning Dialogue Systems and a Case Study for Natural Language Understanding
On-the-job learning consists in continuously learning while being used in production, in an open environment, meaning that the system has to deal on its own with situations and elements never seen before.
Lifelong learning et syst\`emes de dialogue : d\'efinition et perspectives (Lifelong learning and dialogue system : definition and discussion )
Un syst{\`e}me de dialogue devrait {\^e}tre en mesure d{'}apprendre de nouvelles connaissances, apr{\`e}s avoir {\'e}t{\'e} d{\'e}ploy{\'e}, et ceci de mani{\`e}re continue gr{\^a}ce {\`a} ses interactions avec l{'}utilisateur.
