Improving Retrieval-Based Question Answering with Deep Inference Models

@article{Pirtoaca2019ImprovingRQ,
  title={Improving Retrieval-Based Question Answering with Deep Inference Models},
  author={George-Sebastian Pirtoaca and Traian Rebedea and Stefan Ruseti},
  journal={2019 International Joint Conference on Neural Networks (IJCNN)},
  year={2019},
  pages={1-8}
}
  • George-Sebastian Pirtoaca, Traian Rebedea, Stefan Ruseti
  • Published 2019
  • Computer Science
  • 2019 International Joint Conference on Neural Networks (IJCNN)
  • Question answering is one of the most important and difficult applications at the border of information retrieval and natural language processing, especially when we talk about complex questions which require some form of inference to determine the correct answer. [...] Key Method In the first stage, each question-answer pair is fed into an information retrieval engine to find relevant candidate contexts that serve as the underlying knowledge for the inference models.Expand Abstract
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