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dc.date.accessioned | 2012-11-08T16:45:29Z | |
dc.date.available | 2012-11-08T16:45:29Z | |
dc.date.issued | 2006-08 | |
dc.identifier.uri | http://sedici.unlp.edu.ar/handle/10915/23916 | |
dc.description.abstract | 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. | en |
dc.language | en | es |
dc.subject | geographic location information | en |
dc.subject | Ubicaciones Geográficas | es |
dc.subject | tags | en |
dc.subject | Procesamiento de Lenguaje Natural | es |
dc.subject | keywords | en |
dc.title | Road segment identification in natural language text | en |
dc.type | Objeto de conferencia | es |
sedici.identifier.isbn | 0-387-34654-6 | es |
sedici.creator.person | Barsanti, Lawrence | es |
sedici.creator.person | Tawfik, Ahmed Y. | es |
sedici.description.note | IFIP International Conference on Artificial Intelligence in Theory and Practice - Speech and Natural Language | es |
sedici.subject.materias | Ciencias Informáticas | es |
sedici.description.fulltext | true | es |
mods.originInfo.place | Red de Universidades con Carreras en Informática (RedUNCI) | es |
sedici.subtype | Objeto de conferencia | es |
sedici.rights.license | Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) | |
sedici.rights.uri | http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ | |
sedici.date.exposure | 2006-08 | |
sedici.relation.event | 19 th IFIP World Computer Congress - WCC 2006 | es |
sedici.description.peerReview | peer-review | es |