@InProceedings{burtsev-EtAl:2018:Demos,
  author    = {Burtsev, Mikhail  and  Seliverstov, Alexander  and  Airapetyan, Rafael  and  Arkhipov, Mikhail  and  Baymurzina, Dilyara  and  Bushkov, Nickolay  and  Gureenkova, Olga  and  Khakhulin, Taras  and  Kuratov, Yuri  and  Kuznetsov, Denis  and  Litinsky, Alexey  and  Logacheva, Varvara  and  Lymar, Alexey  and  Malykh, Valentin  and  Petrov, Maxim  and  Polulyakh, Vadim  and  Pugachev, Leonid  and  Sorokin, Alexey  and  Vikhreva, Maria  and  Zaynutdinov, Marat},
  title     = {DeepPavlov: Open-Source Library for Dialogue Systems},
  booktitle = {Proceedings of ACL 2018, System Demonstrations},
  month     = {July},
  year      = {2018},
  address   = {Melbourne, Australia},
  publisher = {Association for Computational Linguistics},
  pages     = {122--127},
  abstract  = {Adoption of messaging communication and voice assistants has grown rapidly in the last years. This creates a demand for tools that speed up prototyping of feature-rich dialogue systems. An open-source library DeepPavlov is tailored for development of conversational agents. The library prioritises efficiency, modularity, and extensibility with the goal to make it easier to develop dialogue systems from scratch and with limited data available. It supports modular as well as end-to-end approaches to implementation of conversational agents. Conversational agent consists of skills and every skill can be decomposed into components. Components are usually models which solve typical NLP tasks such as intent classification, named entity recognition or pre-trained word vectors. Sequence-to-sequence chit-chat skill, question answering skill or task-oriented skill can be assembled from components provided in the library.},
  url       = {http://www.aclweb.org/anthology/P18-4021}
}