@inproceedings{527c2c6e4e7a4dd8954e20c91af3c492,
title = "Identifying destinations automatically from human generated route directions",
abstract = "Automatic and accurate extraction of destinations in human-generated route descriptions facilitates visualizing text route descriptions on digital maps. Such information further supports research aiming at understanding human cognition of geospatial information. However, as reproted in previous work, the recognition of destinations is not satisfactory. In this paper, we show our approach and achievements in improving the accuracy of destination name recognition. We identified and evaluated multiple features for classifying a named entity to be either {"}destination{"} or {"}non- destination{"}; after that, we use a simple yet effective post-processing algorithm to improve classification accuracy. Comprehensive experiments confirm the effectiveness of our approach.",
keywords = "destination name classification, driving directions, geospatial information extraction",
author = "Xiao Zhang and Prasenjit Mitra and Alexander Klippel and MacEachren, {Alan M.}",
year = "2011",
month = nov,
doi = "10.1145/2093973.2094026",
language = "English",
isbn = "9781450310314",
series = "GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems",
pages = "373--376",
booktitle = "19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2011",
note = "19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2011 ; Conference date: 01-11-2011 Through 04-11-2011",
}