Corpus ID: 216553830

A Simple and Effective Model for Answering Multi-span Questions

@article{Segal2019ASA,
  title={A Simple and Effective Model for Answering Multi-span Questions},
  author={Elad Segal and Avia Efrat and M. Shoham and A. Globerson and Jonathan Berant},
  journal={arXiv: Computation and Language},
  year={2019}
}
  • Elad Segal, Avia Efrat, +2 authors Jonathan Berant
  • Published 2019
  • Computer Science
  • arXiv: Computation and Language
  • Models for reading comprehension (RC) commonly restrict their output space to the set of all single contiguous spans from the input, in order to alleviate the learning problem and avoid the need for a model that generates text explicitly. However, forcing an answer to be a single span can be restrictive, and some recent datasets also include multi-span questions, i.e., questions whose answer is a set of non-contiguous spans in the text. Naturally, models that return single spans cannot answer… CONTINUE READING

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