3 accepted papers
Dialogue models are able to generate coherent and fluent responses, but they can still be challenging to control and may produce non-engaging, unsafe results. This unpredictability diminishes user trust and can hinder the use of the models in the real world. To address this, we introduce DialGuide,…
Embodied task completion is a challenge where an agent in a simulated environment must predict environment actions to complete tasks based on natural language instructions and ego-centric visual observations. We propose a variant of this problem where the agent predicts actions at a higher level of…
We present Neural Network (NN) approaches to the automated assessment of non-native spontaneous speech in a monologic task and a simulated dialogic task. Three attention-based Bidirectional Long Short-Term Memory (BLSTM) Recurrent Neural Networks (RNN) are employed to learn three dimensions (i.e., d…