Improving Retrieval-Based Question Answering with Deep Inference Models

@article{Pirtoaca2018ImprovingRQ,
  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={2018},
  pages={1-8}
}
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. In this paper, we present a two-step method that combines information retrieval techniques optimized for question answering with deep learning models for natural language inference in order to tackle the multiple-choice question… CONTINUE READING
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Improving multi-choice question answering by identifying essential terms in questions

G. S. Pirtoaca, S. Ruseti, T. Rebedea
  • In “Revista Romana de Interactiune Om-Calculator”11(2),
  • 2018
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