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News sources on the Web generate constant streams of information, describing many aspects of the events that shape our world. In particular, geography plays a key role in the news, and enabling geographic retrieval of news articles involves recognizing the textual references to geographic locations (called toponyms) present in the articles, which can be difficult due to ambiguity in natural language. Toponym recognition in news is often accomplished with algorithms designed and tested arounddoi:10.1145/2009916.2010029 dblp:conf/sigir/LiebermanS11 fatcat:c54odfqjfvdxvcf23lvmmpbsi4