Corpus ID: 231573116

A Neural Question Answering System for Basic Questions about Subroutines

@article{Bansal2021ANQ,
  title={A Neural Question Answering System for Basic Questions about Subroutines},
  author={Aakash Bansal and Zachary Eberhart and Lingfei Wu and Collin McMillan},
  journal={ArXiv},
  year={2021},
  volume={abs/2101.03999}
}
A question answering (QA) system is a type of conversational AI that generates natural language answers to questions posed by human users. QA systems often form the backbone of interactive dialogue systems, and have been studied extensively for a wide variety of tasks ranging from restaurant recommendations to medical diagnostics. Dramatic progress has been made in recent years, especially from the use of encoderdecoder neural architectures trained with big data input. In this paper, we take… Expand

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