Grounding spatial named entities for information extraction and question answering
J. Leidner, G. Sinclair, and B. Webber. Proceedings of the HLT-NAACL 2003 workshop on Analysis of geographic references - Volume 1, page 31--38. Stroudsburg, PA, USA, Association for Computational Linguistics, (2003)
DOI: 10.3115/1119394.1119399
Abstract
The task of named entity annotation of unseen text has recently been successfully automated with near-human performance.But the full task involves more than annotation, i.e. identifying the scope of each (continuous) text span and its class (such as place name). It also involves grounding the named entity (i.e. establishing its denotation with respect to the world or a model). The latter aspect has so far been neglected.In this paper, we show how geo-spatial named entities can be grounded using geographic coordinates, and how the results can be visualized using off-the-shelf software. We use this to compare a "textual surrogate" of a newspaper story, with a "visual surrogate" based on geographic coordinates.
%0 Conference Paper
%1 Leidner:2003:GSN:1119394.1119399
%A Leidner, Jochen L.
%A Sinclair, Gail
%A Webber, Bonnie
%B Proceedings of the HLT-NAACL 2003 workshop on Analysis of geographic references - Volume 1
%C Stroudsburg, PA, USA
%D 2003
%I Association for Computational Linguistics
%K MA entities grounding named
%P 31--38
%R 10.3115/1119394.1119399
%T Grounding spatial named entities for information extraction and question answering
%U http://dx.doi.org/10.3115/1119394.1119399
%X The task of named entity annotation of unseen text has recently been successfully automated with near-human performance.But the full task involves more than annotation, i.e. identifying the scope of each (continuous) text span and its class (such as place name). It also involves grounding the named entity (i.e. establishing its denotation with respect to the world or a model). The latter aspect has so far been neglected.In this paper, we show how geo-spatial named entities can be grounded using geographic coordinates, and how the results can be visualized using off-the-shelf software. We use this to compare a "textual surrogate" of a newspaper story, with a "visual surrogate" based on geographic coordinates.
@inproceedings{Leidner:2003:GSN:1119394.1119399,
abstract = {The task of named entity annotation of unseen text has recently been successfully automated with near-human performance.But the full task involves more than annotation, i.e. identifying the scope of each (continuous) text span and its class (such as place name). It also involves grounding the named entity (i.e. establishing its denotation with respect to the world or a model). The latter aspect has so far been neglected.In this paper, we show how geo-spatial named entities can be grounded using geographic coordinates, and how the results can be visualized using off-the-shelf software. We use this to compare a "textual surrogate" of a newspaper story, with a "visual surrogate" based on geographic coordinates.},
acmid = {1119399},
added-at = {2012-10-23T19:33:16.000+0200},
address = {Stroudsburg, PA, USA},
author = {Leidner, Jochen L. and Sinclair, Gail and Webber, Bonnie},
biburl = {https://www.bibsonomy.org/bibtex/2e41757289d34442c8d23eb16fdd06714/gzymeri},
booktitle = {Proceedings of the HLT-NAACL 2003 workshop on Analysis of geographic references - Volume 1},
doi = {10.3115/1119394.1119399},
interhash = {1c80a3f44df47adc3f4a935367c9841c},
intrahash = {e41757289d34442c8d23eb16fdd06714},
keywords = {MA entities grounding named},
numpages = {8},
pages = {31--38},
publisher = {Association for Computational Linguistics},
series = {HLT-NAACL-GEOREF '03},
timestamp = {2012-10-23T19:33:16.000+0200},
title = {Grounding spatial named entities for information extraction and question answering},
url = {http://dx.doi.org/10.3115/1119394.1119399},
year = 2003
}