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The extraction of trajectories from real texts based on linear classification

  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Text-to-scene conversion systems need to share the spatial descriptions between natural language and the 3D scene. Such applications are the ideal candidates for the extraction of spatial relations from free texts, in which the extraction to trajectories that are focus objects in spatial descriptions is an essential problem. We present an analysis of how the space relations are described in Chinese. Based on this study, we propose a method where the extraction of trajectories is modeled as a binary classification problem and resolved based on a linear classifier with syntactic features. Moreover, experimental results are analyzed in detail to demonstrate the effectiveness of the linear classifier to the extraction problem of the trajectory concept.

Original languageEnglish
Title of host publicationProceedings of the 16th Nordic Conference of Computational Linguistics, NODALIDA 2007
EditorsJoakim Nivre, Joakim Nivre, Heiki-Jaan Kaalep, Kadri Muischnek, Mare Koit
PublisherAssociation for Computational Linguistics (ACL)
Pages121-127
Number of pages7
ISBN (Electronic)9789985405130
StatePublished - 2007
Event16th Nordic Conference of Computational Linguistics, NODALIDA 2007 - Tartu, Estonia
Duration: 25 May 200726 May 2007

Publication series

NameProceedings of the 16th Nordic Conference of Computational Linguistics, NODALIDA 2007

Conference

Conference16th Nordic Conference of Computational Linguistics, NODALIDA 2007
Country/TerritoryEstonia
CityTartu
Period25/05/0726/05/07

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