Abstract: Adoption of messaging communication and voice assistants has grown rapidly in the last years. This creates a huge demand for tools that speed up development of Conversational AI systems. An open-source DeepPavlov framework is created for development of multi-skill conversational agents. It prioritises efficiency, modularity, and extensibility with the goal to make it easier to develop dialogue systems from scratch and with limited data available. It also supports modular as well as end-to-end approaches to implementation of conversational agents.
Bio: Mikhail Burtsev is a head of Neural Networks and Deep Learning Laboratory at Moscow Institute of Physics and Technology. He is also founder and leader of open-source conversational AI framework DeepPavlov. Mikhail had proposed and co-organize a series of academic Conversational AI Challenges (including NIPS 2017, NeurIPS 2018, EMNLP 2020).
His research interests are in fields of Natural Language Processing , Machine Learning, Artificial Intelligence and Complex Systems. Mikhail Burtsev has published more than 20 technical papers including – Nature, Artificial Life, Lecture Notes in Computer Science series and other peer reviewed venues.