Hey Neo, can you help me to classify the intents of Croatian utterances?
Intent Classification Models - Cross-lingual Transfer Learning
Multi2ConvAI Blog
Hey Neo, can you find a French restaurant nearby me?
How to train an intent classification model?
Tech Talk - Werfen wir einen Blick auf das Frontend von Multi2ConvAI
Vom Entwurf zur programmierten Seite - Einblicke in Konzept und technische Umsetzung der Multi2ConvAI Plattform
Tech Talk - How does the Multi2ConvAI platform work?
Insights about the technologies behind the development, deployment and operation of our Multi2ConvAI platform
Hey Neo, I want to book a train ticket and a hotel room! - Domain Adaptation
How a chatbot solves complex tasks with a multi-domain task-oriented dialog system
Hey Neo, where can I buy a mask? - Intent Classification
All you need to know about how chatbots answer correctly to your requests
Hey Neo, how many languages do you speak? – Multilingual domains for chat and voice bots
Use cases for the Multi2ConvAI research project - Corona chatbot, voice assistant for quality assurance and assistant for Last-Mile-Delivery
About the partners of the project
The consortium of the Multi2ConvAI research project consists of the University of Mannheim and two SMEs based in Karlsruhe, inovex GmbH and Neohelden GmbH. The three partners share their expertise within the project in the hope to learn and grow from the resulting synergies.
Funding
The project Mehrsprachige und domänenübergreifende Conversational AI is financially supported by the State of Baden-Württemberg as part of the “KI-Innovationswettbewerb” (an AI innovation challenge). The funding aims at overcoming technological hurdles when commercializing artificial intelligence (AI) and helping small and medium-sized enterprises (SMEs) to benefit from the great potential AI holds. With the innovation competition, its specifically promoted cooperation between companies and research institutions and the transfer of research and development from science to business are to be accelerated.
