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Found 14 papers, 0 papers with code
Combining Structured and Unstructured Knowledge in an Interactive Search Dialogue System
Based on objective metrics and subjective user ratings, we demonstrate the feasibility of using an unsupervised low latency approach to extend a schema-driven search dialogue system to handle unconstrained user preferences.
Adversarial learning of neural user simulators for dialogue policy optimisation
Reinforcement learning based dialogue policies are typically trained in interaction with a user simulator.
Opening up Minds with Argumentative Dialogues
We show that while both models perform closely in terms of opening up minds, the argument-based model is significantly better on other dialogue properties such as engagement and clarity.
Dialogue Strategy Adaptation to New Action Sets Using Multi-dimensional Modelling
A major bottleneck for building statistical spoken dialogue systems for new domains and applications is the need for large amounts of training data.
A study on cross-corpus speech emotion recognition and data augmentation
Models trained on mixed corpora can be more stable in mismatched contexts, and the performance reductions range from 1 to 8% when compared with single corpus models in matched conditions.
Towards Handling Unconstrained User Preferences in Dialogue
A user input to a schema-driven dialogue information navigation system, such as venue search, is typically constrained by the underlying database which restricts the user to specify a predefined set of preferences, or slots, corresponding to the database fields.
Action State Update Approach to Dialogue Management
Utterance interpretation is one of the main functions of a dialogue manager, which is the key component of a dialogue system.
