Beyond Plain Spatial Knowledge: Determining Where Entities Are and Are Not Located, and For How Long

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This paper complements semantic role representations with spatial knowledge beyond indicating plain locations.

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11 p.

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Vempala, Alakananda & Blanco, Eduardo August 2016.

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This paper is part of the collection entitled: UNT Scholarly Works and was provided by UNT College of Engineering to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 17 times . More information about this paper can be viewed below.

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UNT College of Engineering

The UNT College of Engineering promotes intellectual and scholarly pursuits in the areas of computer science and engineering, preparing innovative leaders in a variety of disciplines. The UNT College of Engineering encourages faculty and students to pursue interdisciplinary research among numerous subjects of study including databases, numerical analysis, game programming, and computer systems architecture.

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This paper complements semantic role representations with spatial knowledge beyond indicating plain locations.

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11 p.

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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.

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  • 54th Annual Meeting of the Association for Computational Linguistics, August 7-12, 2016. Berlin, Germany.

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  • Publication Title: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics
  • Pages: 1502-1512
  • Peer Reviewed: Yes

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UNT Scholarly Works

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  • August 2016

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  • Aug. 31, 2017, 5:38 p.m.

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Vempala, Alakananda & Blanco, Eduardo. Beyond Plain Spatial Knowledge: Determining Where Entities Are and Are Not Located, and For How Long, paper, August 2016; Stroudsburg, Pennsylvania. (digital.library.unt.edu/ark:/67531/metadc991475/: accessed December 11, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Engineering.