Corpus ID: 59553453

Human acceptability judgements for extractive sentence compression

@article{Handler2019HumanAJ,
  title={Human acceptability judgements for extractive sentence compression},
  author={Abram Handler and Brian Dillon and Brendan T. O'Connor},
  journal={ArXiv},
  year={2019},
  volume={abs/1902.00489}
}
  • Abram Handler, Brian Dillon, Brendan T. O'Connor
  • Published in ArXiv 2019
  • Computer Science
  • Recent approaches to English-language sentence compression rely on parallel corpora consisting of sentence-compression pairs. However, a sentence may be shortened in many different ways, which each might be suited to the needs of a particular application. Therefore, in this work, we collect and model crowdsourced judgements of the acceptability of many possible sentence shortenings. We then show how a model of such judgements can be used to support a flexible approach to the compression task… CONTINUE READING

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