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- W2149117577 abstract "Geo-referencing is a key task for geographical information retrieval because it allows unstructured or textual documents (i.e., Web pages) to be associated with geographical locations, which are then used by geo-search engines to index documents and search information by spatial criteria. This work proposes a strategy to extract geo-references from textual documents that combine natural language-processing techniques and co-reference solving heuristics, which in turn can be used to expand a geographical gazetteer. Implicit geographical entities (i.e., those entities referred to by pronouns) are recognized and incorporated into the gazetteer that is updated and used for geo-referencing tasks. Experiments show the promise of the approach to geo-referencing Web pages when dealing with implicit and/or indirect geo-references." @default.
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- W2149117577 date "2011-02-23" @default.
- W2149117577 modified "2023-09-30" @default.
- W2149117577 title "Geo-referencing with semi-automatic gazetteer expansion using lexico-syntactical patterns and co-reference analysis" @default.
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- W2149117577 doi "https://doi.org/10.1080/13658816.2010.513981" @default.
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