Ostermann, Simon; Seitz, Hannah; Thater, Stefan; Pinkal, Manfred
Mapping Text to Scripts: An Entailment Study
Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC 2018), Miyazaki, Japan, 2018.
Commonsense knowledge as provided by scripts is crucially relevant for text understanding systems, providing a basis for commonsense inference. This paper considers a relevant subtask of script-based text understanding, the task of mapping event mentions in a text to script events. We focus on script representations where events are associated with paraphrase sets, i.e. sets of crowdsourced event descriptions. We provide a detailed annotation of event mention/description pairs with textual entailment types. We demonstrate that representing events in terms of paraphrase sets can massively improve the performance of text-to-script mapping systems. However, for a residual substantial fraction of cases, deeper inference is still required.