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Locational relativity and domain constraints in spatial questions

Published: 06 November 2012 Publication History

Abstract

Spatial queries in the form of natural language questions have typically been assumed to have unconstrained geographic answers. However, analysis of prototypical spatial questions reveals two important types of constraints that must be considered by spatial question answering systems. First, locational relativity constraints limit answers to a particular location or the user's implied location. Second, domain constraints specify non-geographic locations such as web pages or anatomical sites. In order to detect these constraints, we have conducted a crowd-sourced annotation effort for a set of over 1,200 questions gathered from a community question answering website. We utilize machine learning techniques trained on this data to automatically classify these two types of constraints. We report results nearing 90% accuracy at locational relativity detection and 76% accuracy at domain classification using this approach.

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cover image ACM Conferences
SIGSPATIAL '12: Proceedings of the 20th International Conference on Advances in Geographic Information Systems
November 2012
642 pages
ISBN:9781450316910
DOI:10.1145/2424321
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 06 November 2012

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Author Tags

  1. locational relativity
  2. query constraints
  3. spatial question answering

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