Building Advanced Dialogue Managers for Goal-Oriented Dialogue Systems

no code implementations • 3 Jun 2018 • Vladimir Ilievski

The success of the dialogue system depends on the quality of the policy, which is in turn reliant on the availability of high-quality training data for the policy learning method, for instance Deep Reinforcement Learning.

Goal-Oriented Dialogue Systems Natural Language Understanding +2

Submodularity-Inspired Data Selection for Goal-Oriented Chatbot Training Based on Sentence Embeddings

no code implementations • 2 Feb 2018 • Mladen Dimovski, Claudiu Musat, Vladimir Ilievski, Andreea Hossmann, Michael Baeriswyl

Spoken language understanding (SLU) systems, such as goal-oriented chatbots or personal assistants, rely on an initial natural language understanding (NLU) module to determine the intent and to extract the relevant information from the user queries they take as input.

Active Learning Chatbot +4

Goal-Oriented Chatbot Dialog Management Bootstrapping with Transfer Learning

no code implementations • 1 Feb 2018 • Vladimir Ilievski, Claudiu Musat, Andreea Hossmann, Michael Baeriswyl

The success of the dialogue system depends on the quality of the policy, which is in turn reliant on the availability of high-quality training data for the policy learning method, for instance Deep Reinforcement Learning.

Chatbot Management +3