• DOI:10.1007/978-3-319-76941-7_62
Corpus ID: 4110225

Improving Deep Learning for Multiple Choice Question Answering with Candidate Contexts

@inproceedings{Nicula2018ImprovingDL,
  title={Improving Deep Learning for Multiple Choice Question Answering with Candidate Contexts},
  author={B. Nicula and Stefan Ruseti and Traian Rebedea},
  booktitle={ECIR},
  year={2018}
}

B. Nicula, Stefan Ruseti, Traian Rebedea

Published in ECIR 2018

Computer Science

Deep learning solutions have been widely used lately for improving question answering systems, especially as the amount of training data has increased. However, these solutions have been developed for specific tasks, when both the question and the candidate answers are long enough for the deep learning models to provide a better text representation and a more complex similarity function. For multiple choice questions that have short answers, information retrieval solutions are still largely… CONTINUE READING

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