TR
T. Ren
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This study introduces a literature review tool for abstract-screening in urban studies. It presents two pipelines that focus on linking geoparsing outputs and hierarchical toponym aggregation. Pipeline1 uses batched matching with GeoNames for fast but coarse aggregation. Pipeline2 enhances the accuracy by incorporating a toponym resolution model to address geo/geo ambiguity, and semantic checks to correct potential resolution errors. Evaluated on 500 abstracts, Pipeline2 achieves a precision of 0.96 and a recall of 0.98 for aggregated toponym output.
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This study introduces a literature review tool for abstract-screening in urban studies. It presents two pipelines that focus on linking geoparsing outputs and hierarchical toponym aggregation. Pipeline1 uses batched matching with GeoNames for fast but coarse aggregation. Pipeline2 enhances the accuracy by incorporating a toponym resolution model to address geo/geo ambiguity, and semantic checks to correct potential resolution errors. Evaluated on 500 abstracts, Pipeline2 achieves a precision of 0.96 and a recall of 0.98 for aggregated toponym output.