Large-Scale QA-SRL Parsing

@inproceedings{FitzGerald2018LargeScaleQP,
  title={Large-Scale QA-SRL Parsing},
  author={Nicholas FitzGerald and Julian Michael and Luheng He and Luke S. Zettlemoyer},
  booktitle={ACL},
  year={2018}
}
We present a new large-scale corpus of Question-Answer driven Semantic Role Labeling (QA-SRL) annotations, and the first high-quality QA-SRL parser. Our corpus, QA-SRL Bank 2.0, consists of over 250,000 question-answer pairs for over 64,000 sentences across 3 domains and was gathered with a new crowd-sourcing scheme that we show has high precision and good recall at modest cost. We also present neural models for two QA-SRL subtasks: detecting argument spans for a predicate and generating… CONTINUE READING

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