Our socialbot will fill the gap between production-ready agents and state-of-the-art NLP research.
We are the team from the Neural Networks and Deep Learning Lab at Moscow Institute of Physics and Technology. The main research area of our lab is NLP with a focus on Conversational Intelligence and Dialog Agents. The Alexa Prize is a great opportunity for us 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. Our socialbot will fill the gap between production-ready agents and state-of-the-art NLP research.
Yury K. - Team leader
Yury has been a Ph.D. student and researcher at the Neural Networks and Deep Learning Laboratory at Moscow Institute of Physics and Technology since 2017. Previously Yury worked as a software developer at ABBYY on building Russian Corpora for three years. He has a master degree in Computational Linguistics. Yury’s research area is neural networks for natural language processing. His main projects are coreference resolution, question answering and language modeling. Yury and Idris won Conversational Intelligence Challenge (ConvAI) in 2017 and have publications at NIPS and COLING conferences. Yury has strong skills in research, development and team management.
Diliara is a Ph.D. student and researcher in Neural Networks and Deep Learning Laboratory at Moscow Institute of Physics and Technology. She has two master degrees in Computational Mathematics of Moscow Institute of Physics and Technology, and Skolkovo Institute of Science and Technology. Diliara’s current research is dedicated to neural approaches to text classification and evolutionary algorithms for neural architecture search. One of her main responsibilities in the Laboratory is development of text classification components.
Idris has developed various systems from web-apps on Ruby on Rails to dialog agents that uses wide range of NLP and machine learning methods. Currently, he is leading the development of NLP-core in an Autofaq.ai chatbot platform. Idris is a Ph.D. Student at MIPT focusing his area of research is dialog agents. Idris won Conversational Intelligence Challenge 1 (ConvAI) and have publications in NIPS and COLING conferences. He is a team player, that gets things done.
Dmitry finished his secondary education with a silver medal in 10 years (instead of 11). He also won the Moscow chess championship among private school students. During study at MIPT he has received 2 extra scholarships (Abramov scholarship, state elevated academic scholarship), and earned his BA degree with honors. In 2017, Dmitry switched his research area to Computer Science. Since then he has managed to win the DeepHack.Chat competition. Dmitry also has participated in 3 scientific conferences (En&T, Mintz Readings, 59th MIPT conference) and 1 robotic competition (FIRA HuroCup 2019).
The Anh L.
The Anh is a Ph.D. student and researcher at the Neural Networks and Deep Learning Laboratory at Moscow Institute of Physics and Technology. In 2012 he received his Masters degree in Computer Science from the University of Engineering and Technology, Vietnam National University, Hanoi, Viet Nam. He is a lecturer at the Faculty of Information Technology - Vietnam Maritime University. The Anh’s research is related to deep neural network models for natural language processing tasks and focuses on structural retrieval from text (e.g. named entity recognition, coreference resolution).
Elena is a master’s student and researcher at Moscow Institute of Physics and Technology, since 2018. Currently she is receiving her degree in Data Science. Elena's research is focused on retrieval methods applied to different tasks e.g. chit-chat conversation and Q&A with explanation.
Daniil worked as a Junior Data Analyst in Tinkoff bank from 2018-2019 and joined iPavlov at MIPT, as a research assistant, in October 2019.
Denis, entered the Institute of NRNU MEPhI, in 2011, and graduated from plasma physics. He has sports achievements in the discipline of sports tourism. Since 2016, Denis has been actively engaged in the development of models on neural networks. And, since 2017, he has been working on iPavlov at MIPT.
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. 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 the development of open-source conversational AI framework DeepPavlov.