Papers with Question-Answer Meaning Representations

1 papers
Crowdsourcing Question-Answer Meaning Representations (N18-2)

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Challenge: Existing datasets for predicate-argument relationships are lacking highly skilled and trained annotators.
Approach: They propose a crowdsourcing scheme to generate question-answer pairs that represent predicate-argument relationships in sentences as a set of question-announcer pairs.
Outcome: The proposed model covers the vast majority of predicate-argument relationships in existing datasets along with many previously under-resourced ones, including implicit arguments and relations.

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