Do you know about Alexa Prize Challenge? No?
Alexa Prize Socialbot Grand Challenge is a competition for students dedicated to the development of conversational artificial intelligence technologies. The aim of the contest is to create a socialbot that will be able to communicate freely with people on news events and such popular topics as entertainment, sports, politics, technology and fashion. Teams must solve problems of natural language recognition, text generation, context modeling and dialogue management. Development of prototypes began in September,and the winner would be announced in may 2020.
"The bigger the DREAM, the more important the TEAM."
So here is a quick introduction to the core team and an overview of each member's special responsibilities:
@Idris
Idris is a big expert in developing various systems, from web – apps on Ruby on Rails to dialogue agents that uses a wide range of NLP and machine learning methods. He really loves his job. So, he prefers working to having a rest. He's an employee's dream, isn't he?
@Dilyararimovna
Dilya is the one and the only girl in our team. Her current research is dedicated to neural approaches to text classification and evolutionary algorithms for neural architecture search.
She is everyone's favorite diva.
@Yurakuratov (team Leader)
Yura is the big boss and just a good leader. His main projects deal with coreference resolution, question answering, and language modeling.
His motto is «No more words! Only work!»
@kudep
Denis's research is focused on neural machine translation, neural networks attention mechanisms with the constrained condition. The bulk of his research is on generative models and their improvement.
He is so inspired by the work that he lives it!
@karpov
He's a big fan of his work!
He trains the transformer to generate text on dialogue data together with the person.
He has such a background that any self-respecting programmer dreams of it.
@theanhle or cool boy
Anh's research is related with to deep neural network models for natural language processing tasks and focuses on structural retrieval from the text (e.g., named entity recognition, coreference resolution).
He'll do more than necessary and does it very clearly.
@burtsev(Adviser)
The most important person. Sure! He is the supervisor who knows how to direct the work of the team in the right course. If you need advice or help, you can always ask him.