QA SRL
method
ID: qasrl
Related Papers
Controlled Crowdsourcing for High-Quality QA-SRL Annotation
AbstractQuestion-answer driven Semantic Role Labeling (QA-SRL) was proposed as an attractive open and natural flavour of SRL, potentially attainable from laymen. Recently, a large-scale crowdsourced QA-SRL corpus and a trained …...
QANom: Question-Answer driven SRL for Nominalizations
AbstractWe 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 …...
QA-Align: Representing Cross-Text Content Overlap by Aligning Question-Answer Propositions
AbstractMulti-text applications, such as multi-document summarization, are typically required to model redundancies across related texts. Current methods confronting consolidation struggle to fuse overlapping information. In order to explicitly represent content …...