Towards Computationally Feasible Deep Active Learning Findings NAACL

Akim Tsvigun | Artem Shelmanov | Gleb Kuzmin | Leonid Sanochkin | Daniil Larionov | Gleb Gusev | Manvel Avetisian | Leonid Zhukov |

ALToolbox: A Set of Tools for Active Learning Annotation of Natural Language Texts EMNLP

Akim Tsvigun | Leonid Sanochkin | Daniil Larionov | Gleb Kuzmin | Artem Vazhentsev | Ivan Lazichny | Nikita Khromov | Danil Kireev | Aleksandr Rubashevskii | Olga Shahmatova |

Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates EACL

Artem Shelmanov | Dmitri Puzyrev | Lyubov Kupriyanova | Denis Belyakov | Daniil Larionov | Nikita Khromov | Olga Kozlova | Ekaterina Artemova | Dmitry V. Dylov | Alexander Panchenko |

Fake news detection for the Russian language COLING RDSM

Gleb Kuzmin | Daniil Larionov | Dina Pisarevskaya | Ivan Smirnov |

Semantic Role Labeling with Pretrained Language Models for Known and Unknown Predicates RANLP

Daniil Larionov | Artem Shelmanov | Elena Chistova | Ivan Smirnov |