Crowdsourcing Question-Answer Meaning Representations

  title={Crowdsourcing Question-Answer Meaning Representations},
  author={Julian Michael and Gabriel Stanovsky and Luheng He and Ido Dagan and Luke S. Zettlemoyer},
We introduce Question-Answer Meaning Representations (QAMRs), which represent the predicate-argument structure of a sentence as a set of question-answer pairs. We also develop a crowdsourcing scheme to show that QAMRs can be labeled with very little training, and gather a dataset with over 5,000 sentences and 100,000 questions. A detailed qualitative analysis demonstrates that the crowd-generated question-answer pairs cover the vast majority of predicate-argument relationships in existing… CONTINUE READING

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