3 citations · 4 across the 3 of their papers we have counts for
3 papers · 1 filter
OpenAutoNLU: Open Source AutoML Library for NLU
Grigory Arshinov, Aleksandr Boriskin, Sergey Senichev +4
OpenAutoNLU is an open-source automated machine learning library for natural language understanding (NLU) tasks, covering both text classification and named entity recognition (NER…
Active Learning for Abstractive Text Summarization
Akim Tsvigun, Ivan Lysenko, Danila Sedashov +9
Construction of human-curated annotated datasets for abstractive text summarization (ATS) is very time-consuming and expensive because creating each instance requires a human annot…
Towards Computationally Feasible Deep Active Learning
Akim Tsvigun, Artem Shelmanov, Gleb Kuzmin +5
Active learning (AL) is a prominent technique for reducing the annotation effort required for training machine learning models. Deep learning offers a solution for several essentia…