@inproceedings{shavrina-etal-2020-humans,
    title = "Humans Keep It One Hundred: an Overview of {AI} Journey",
    author = "Shavrina, Tatiana  and
      Emelyanov, Anton  and
      Fenogenova, Alena  and
      Fomin, Vadim  and
      Mikhailov, Vladislav  and
      Evlampiev, Andrey  and
      Malykh, Valentin  and
      Larin, Vladimir  and
      Natekin, Alex  and
      Vatulin, Aleksandr  and
      Romov, Peter  and
      Anastasiev, Daniil  and
      Zinov, Nikolai  and
      Chertok, Andrey",
    booktitle = "Proceedings of the Twelfth Language Resources and Evaluation Conference",
    month = may,
    year = "2020",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://aclanthology.org/2020.lrec-1.277",
    pages = "2276--2284",
    abstract = "Artificial General Intelligence (AGI) is showing growing performance in numerous applications - beating human performance in Chess and Go, using knowledge bases and text sources to answer questions (SQuAD) and even pass human examination (Aristo project). In this paper, we describe the results of AI Journey, a competition of AI-systems aimed to improve AI performance on knowledge bases, reasoning and text generation. Competing systems pass the final native language exam (in Russian), including versatile grammar tasks (test and open questions) and an essay, achieving a high score of 69{\%}, with 68{\%} being an average human result. During the competition, a baseline for the task and essay parts was proposed, and 80+ systems were submitted, showing different approaches to task understanding and reasoning. All the data and solutions can be found on github https://github.com/sberbank-ai/combined{\_}solution{\_}aij2019",
    language = "English",
    ISBN = "979-10-95546-34-4",
}