@inproceedings{14a02e225a2545d4aa2f76ed8e5a6a56,
title = "Complementing semantic roles with temporally-anchored spatial knowledge: Crowdsourced annotations and experiments",
abstract = "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 yield performance improvements.",
author = "Alakananda Vempala and Eduardo Blanco",
note = "Publisher Copyright: {\textcopyright} Copyright 2016, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.; 30th AAAI Conference on Artificial Intelligence, AAAI 2016 ; Conference date: 12-02-2016 Through 17-02-2016",
year = "2016",
language = "English (US)",
series = "30th AAAI Conference on Artificial Intelligence, AAAI 2016",
publisher = "AAAI press",
pages = "2652--2658",
booktitle = "30th AAAI Conference on Artificial Intelligence, AAAI 2016",
}