Annotating Temporally-Anchored Spatial Knowledge by Leveraging Syntactic Dependencies

Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

Abstract

This paper presents a two-step methodology to annotate temporally-anchored spatial knowledge on top of OntoNotes. We first generate potential knowledge using syntactic dependencies, and then crowdsource annotations to validate the potential knowledge. The resulting annotations indicate how long entities are or are not located somewhere, and temporally anchor this information. Crowdsourcing experiments show that spatial inferences are ubiquitous and intuitive, and experimental results show that they can be done automatically.