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+ # QANom
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+ This dataset contains question-answer pairs to model the predicate-argument structure of deverbal nominalizations.
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+ The questions start with wh-words (Who, What, Where, What, etc.) and contain the verbal form of a nominalization from the sentence;
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+ the answers are phrases in the sentence.
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+ See the paper for details: [QANom: Question-Answer driven SRL for Nominalizations (Klein et. al., COLING 2020)](https://www.aclweb.org/anthology/2020.coling-main.274/)
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+ For previewing the QANom data along with the verbal annotations of QASRL, check out https://browse.qasrl.org/.
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+ Also checkout out our [GitHub repository](https://github.com/kleinay/QANom) to find code for nominalization identification, QANom annotation, evaluation and models.
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+ The dataset was annotated by selected workers from Amazon Mechanical Turk.