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DREAM TEAM 2
OUR DREAM TEAM 2 WAS SELECTED TO PARTICIPATE IN ALEXA PRIZE
SOCIALBOT GRAND CHALLENGE 4!!!
Amazon
Alexa Prize Socialbot Grand Challenge
A challenge to advance human-computer interaction. Teams will create socialbots that can converse coherently and engagingly with humans on a range of current events and popular topics such as entertainment, sports, politics, technology, and fashion.
Opportunity for
DREAM team 2
The Alexa Prize is a great opportunity to develop a socialbot that can be a good companion for Alexa users, a virtual character able to provide entertainment with useful and funny facts, as well as, engage its partner into a deeper discussion on topics of interest in a natural way. This time we stay on the shoulders of the original Dream socialbot as well as the DeepPavlov Dream distribution. Our updated socialbot will further advance development of Conversational AI.
DREAM team 2
Diliara Baymurzina
Team Leader
Dilyara is a PhD student and researcher in Neural Networks and Deep Learning Laboratory at Moscow Institute of Physics and Technology. Dilyara was an official member of the DREAM team during Alexa Prize Challenge 3, and developed several cool components. She has two master degrees in Computational Mathematics of MIPT, and Skoltech. Dilyara's current research is dedicated to evolutionary algorithms for neural architecture search.
Denis Kuznetsov
Denis is a PhD student and researcher in Neural Networks and Deep Learning Laboratory at Moscow Institute of Physics and Technology. Denis was an official member of the DREAM team during Alexa Prize Challenge 3. He has a master degree in Electronics and Nuclear Technology Automation of National Research Nuclear University MEPhI. His current research is dedicated to the applications of neural network based language models.
Dmitry Karpov
Dmitry is a Ph.D. student and researcher at Moscow Institute of Physics and Technology since 2019. In 2017, Dmitry switched his research area to Computer Science. Since that he has managed to win DeepHack.Chat competition. Dmitry also has participated in 3 scientific conferences (En&T, Mintz Readings, 59tn MIPT conference) and 1 robotic competition (FIRA HuroCup 2019). He enrolled into the MIPT Ph.D. program in 2019. His current research is dedicated to the applications of transformer models in dialogue systems.
Alsu Sagirova
Alsu is a PhD student and a junior researcher in Neural Networks and Deep Learning Laboratory at Moscow Institute of Physics and Technology. She has two master degrees with honors: in Applied Mathematics and Physics at Moscow Institute of Physics and Technology, and in Mathematics and Computer Science at Skolkovo Institute of Science and Technology. Alsu's current research is dedicated to the memory-augmented Transformers.
Dmitry Evseev
Dmitry is a PhD student and junior researcher in Neural Networks and Deep Learning Laboratory at Moscow Institute of Physics and Technology. He has a master degree in Applied Mathematics and Physics of Moscow Institute of Physics and Technology. Dmitry's current research is dedicated to knowledge base question answering, open domain question answering and entity linking.
Anton Peganov
Anton is a PhD student and junior researcher in Neural Networks and Deep Learning Laboratory at Moscow Institute of Physics and Technology. He has a master degree in Applied Mathematics and Physics of Moscow Institute of Physics and Technology. Anton's current research is dedicated to neural approaches to language models with long context and MANN in NLP.
Mikhail Burtsev
Faculty Advisor
Mikhail Burtsev is a head of Neural Networks and Deep Learning Laboratory at Moscow Institute of Physics and Technology. In 2005, he received the Ph.D. degree from Keldysh Institute of Applied Mathematics of Russian Academy of Sciences. From 2011 to 2016 he was head of the lab of Department of Neuroscience at Kurchatov NBIC Centre. He is one of the organizers of NeurIPS Conversational Intelligence Challenges (ConvAI 1&2) in 2017 and 2018, as well as a series of workshops on Search-oriented Conversational AI. At the moment he leads development of open-source conversational AI framework DeepPavlov.
We are the team from the Neural Networks and Deep Learning Lab at Moscow Institute of Physics and Technology also known as DeepPavlov.ai. The main research area of our lab is NLP with a focus on Conversational Intelligence and Dialog Agents. We develop a conversational artificial intelligence framework DeepPavlov that contains all the components required for building chatbots.
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