Complementing Semantic Roles with Temporally Anchored Spatial Knowledge: Crowdsourced Annotations and Experiments
DOI:
https://doi.org/10.1609/aaai.v30i1.10331Keywords:
spatial inference, temporally-anchored knowledge, semantic rolesAbstract
This paper presents a framework to infer spatial knowledge from semantic role representations. We infer whether entities are or are not located somewhere, and temporally anchor this spatial information. A large crowdsourcing effort on top of OntoNotes shows that these temporally-anchored spatial inferences are ubiquitous and intuitive to humans. Experimental results show that inferences can be performed automatically and semantic features bring significant improvement.
Downloads
Published
2016-03-05
How to Cite
Vempala, A., & Blanco, E. (2016). Complementing Semantic Roles with Temporally Anchored Spatial Knowledge: Crowdsourced Annotations and Experiments. Proceedings of the AAAI Conference on Artificial Intelligence, 30(1). https://doi.org/10.1609/aaai.v30i1.10331
Issue
Section
Technical Papers: NLP and Knowledge Representation