We propose a new semantic scheme for capturing predicate-argument relations for
nominalizations, termed QANom. This scheme extends the QA-SRL formalism (He et al.,
2015), modeling the relations between nominalizations and their arguments via natural
language question-answer pairs. We construct the first QANom dataset using controlled
crowdsourcing, analyze its quality and compare it to expertly annotated nominal-SRL
annotations, as well as to other QA-driven annotations. In addition, we train a baseline …

We propose a new semantic scheme for capturing predicate-argument relations for
nominalizations, termed QANom. This scheme extends the QA-SRL formalism (He et al.,
2015), modeling the relations between nominalizations and their arguments via natural
language question-answer pairs. We construct the first QANom dataset using controlled
crowdsourcing, analyze its quality and compare it to expertly annotated nominal-SRL
annotations, as well as to other QA-driven annotations. In addition, we train a baseline …