Multilingual Open-Domain Question Answering Model

EasyChair Preprint 6950

Abstract

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, Natural Language Processing, Question Answering, deep learning, machine learning, text processing

@booklet{EasyChair:6950,
  author    = {Mykyta Syromiatnikov and Olexander Tsurkan and Victoria Ruvinskaya},
  title     = {Multilingual Open-Domain Question Answering Model},
  howpublished = {EasyChair Preprint 6950},
  year      = {EasyChair, 2021}}