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Permanent link (DOI): https://doi.org/10.7939/R3DR2PG3X

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Geotagging Named Entities in Web Pages Open Access

Descriptions

Other title
Subject/Keyword
geo-center
probabilistic models
named entities
unsupervised framework
geotagging
location ranking
locations
location extraction
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Yu, Jiangwei
Supervisor and department
Rafiei, Davood (Computing Science)
Examining committee member and department
Zaiane, Osmar (Computing Science)
Rafiei, Davood (Computing Science)
Sander, Joerg (Computing Science)
Department
Department of Computing Science
Specialization

Date accepted
2014-08-29T10:45:35Z
Graduation date
2014-11
Degree
Master of Science
Degree level
Master's
Abstract
We study the problem of geotagging named entities where the goal is to identify the most relevant location of a named entity based on the content of the Web pages where the entity is mentioned. We hypothesize the relationship between the mentions of an entity and its geo-center in web pages, and propose a framework that explores this hypothesis and provides a model that can give a ranked list of locations at different location granularities for an entity. We further study the problem of dispersion, and show that the dispersion of a name can be estimated and a geo-center can be detected at an exact dispersion level. Two key features of our approach are: (i) minimal assumption is made on the structure of the mentions hence the approach can be applied to a diverse and heterogeneous set of web pages, and (ii) the approach is unsupervised, leveraging shallow English linguistic features and large gazetteers. We evaluate our methods under different settings and with different categories of named entities. Our evaluation reveals that the geo-center of a name can be estimated with a good accuracy based on some simple statistics of the mentions, and that the accuracy of the estimation varies with the categories of the names.
Language
English
DOI
doi:10.7939/R3DR2PG3X
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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