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Multilingual Open-Domain Question Answering Model

EasyChair Preprint no. 6950

2 pagesDate: October 30, 2021


The development of a multilingual open-domain question answering model is considered. For the implementation, deep neural networks based on the Transformer architecture, gradient boosting methods and vector word representation technologies were used.

Keyphrases: Data Mining, deep learning, machine learning, Natural Language Processing, Question Answering, text processing

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Mykyta Syromiatnikov and Olexander Tsurkan and Victoria Ruvinskaya},
  title = {Multilingual Open-Domain Question Answering Model},
  howpublished = {EasyChair Preprint no. 6950},

  year = {EasyChair, 2021}}
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