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Title:Grounding Spatial Named Entities for Information Extraction and Question Answering
Authors: Jochen Leidner ; Gail Sinclair ; Bonnie Webber
Date:May 2003
Publication Title:Proceedings of the Workshop on the Analysis of Geographic References held at the Joint Conference for Human Language Technology and the Annual Meeting of the North American Chapter of the Association for Computational Linguistics
Publisher:Association for Computational Linguistics
Publication Type:Conference Paper Publication Status:Published
Page Nos:31-38
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.
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Bibtex format
@InProceedings{EDI-INF-RR-1031,
author = { Jochen Leidner and Gail Sinclair and Bonnie Webber },
title = {Grounding Spatial Named Entities for Information Extraction and Question Answering},
book title = {Proceedings of the Workshop on the Analysis of Geographic References held at the Joint Conference for Human Language Technology and the Annual Meeting of the North American Chapter of the Association for Computational Linguistics},
publisher = {Association for Computational Linguistics},
year = 2003,
month = {May},
pages = {31-38},
doi = {10.3115/1119394.1119399},
url = {http://www.iccs.informatics.ed.ac.uk/~s0239229/documents/Leidner-Sinclair-Webber-2003-HLTNAACL.pdf},
}


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