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Road segment identification in natural language text

Barsanti, Lawrence et al · SEDICI UNLP · 2006

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Author / responsible party
Barsanti, Lawrence et al
Publisher
SEDICI UNLP
Year
2006
Language
English

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This paper describes a technique to extract geographic location information from a natural language description of a location. The technique relies on a set of domain specific tags and a set of keywords. The tags are used to identify roads, intersections, and landmarks. Tag combinations are used to discover road segments. The technique is applied to understanding highway construction reports for the Canadian Province of Ontario. IFIP International Conference on Artificial Intelligence in Theory and Practice - Speech and Natural Language Red de Universidades con Carreras en Informática (RedUNCI)

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APA 7

Barsanti, L. E. A. (2006). Road segment identification in natural language text. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/23916

MLA

Barsanti, Lawrence et al. Road segment identification in natural language text. SEDICI UNLP, 2006. http://sedici.unlp.edu.ar/handle/10915/23916.

Chicago

Barsanti, Lawrence et al. 2006. Road segment identification in natural language text. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/23916.

Harvard

Barsanti, L. E. A. 2006, Road segment identification in natural language text, SEDICI UNLP, available at: http://sedici.unlp.edu.ar/handle/10915/23916 [Accessed 10 Aug. 2026].

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Title
Road segment identification in natural language text
Author / contributors
Barsanti, Lawrence et al
Publisher
SEDICI UNLP
Publication year
2006
Language
English

Subjects

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Ciencias Informáticas; geographic location information; tags; keywords; Ubicaciones Geográficas; Procesamiento de Lenguaje Natural
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