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Found 7 papers, 1 papers with code
Toward More Accurate and Generalizable Evaluation Metrics for Task-Oriented Dialogs
Measurement of interaction quality is a critical task for the improvement of spoken dialog systems.
Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems
Finally, we evaluate our system using a typical movie ticket booking task and show that the dialogue simulator is an essential component of the system that leads to over $50\%$ improvement in turn-level action signature prediction accuracy.
OodGAN: Generative Adversarial Network for Out-of-Domain Data Generation
However, collecting the annotated OOD data for a given domain is an expensive process.
Generative Adversarial Network
Out of Distribution (OOD) Detection
Controlled Text Generation for Data Augmentation in Intelligent Artificial Agents
Data availability is a bottleneck during early stages of development of new capabilities for intelligent artificial agents.
Simple Question Answering with Subgraph Ranking and Joint-Scoring
Using this framework as a starting point, we focus on two aspects: improving subgraph selection through a novel ranking method and leveraging the subject--relation dependency by proposing a joint scoring CNN model with a novel loss function that enforces the well-order of scores.
Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent Agents
Our findings suggest unsupervised pre-training on a large corpora of unlabeled utterances leads to significantly better SLU performance compared to training from scratch and it can even outperform conventional supervised transfer.
Fast and Scalable Expansion of Natural Language Understanding Functionality for Intelligent Agents
Fast expansion of natural language functionality of intelligent virtual agents is critical for achieving engaging and informative interactions.
