Abstract
This paper complements semantic role representations with spatial knowledge beyond indicating plain locations. Namely, we extract where entities are (and are not) located, and for how long (seconds, hours, days, etc.). Crowdsourced annotations show that this additional knowledge is intuitive to humans and can be annotated by non-experts. Experimental results show that the task can be automated.
Cite
CITATION STYLE
Vempala, A., & Blanco, E. (2016). Beyond plain spatial knowledge: Determining where entities are and are not located, and for how long. In 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers (Vol. 3, pp. 1502–1512). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/p16-1142
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