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Toponym Resolution

The goal is to find a mapping from a toponym (a location mention) in the text to a spatial footprint.

Papers

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Showing 1–19 of 19 papers

TitleStatusHype
Mordecai 3: A Neural Geoparser and Event GeocoderCode1
A Deep Learning Approach to Geographical Candidate Selection through Toponym MatchingCode1
Are We There Yet? Evaluating State-of-the-Art Neural Network based Geoparsers Using EUPEG as a Benchmarking PlatformCode1
Improving Toponym Resolution with Better Candidate Generation, Transformer-based Reranking, and Two-Stage ResolutionCode0
How can voting mechanisms improve the robustness and generalizability of toponym disambiguation?Code0
Multi-Level Gazetteer-Free Geocoding—0
A Survey on Geocoding: Algorithms and Datasets for Toponym Resolution—0
Spatial Language Representation with Multi-Level GeocodingCode0
Toponym Detection in the Bio-Medical Domain: A Hybrid Approach with Deep Learning—0
UniMelb at SemEval-2019 Task 12: Multi-model combination for toponym resolution—0
DM\_NLP at SemEval-2018 Task 12: A Pipeline System for Toponym Resolution—0
RGCL-WLV at SemEval-2019 Task 12: Toponym Detection—0
SemEval-2019 Task 12: Toponym Resolution in Scientific Papers—0
THU\_NGN at SemEval-2019 Task 12: Toponym Detection and Disambiguation on Scientific Papers—0
UNH at SemEval-2019 Task 12: Toponym Resolution in Scientific Papers—0
A Pragmatic Guide to Geoparsing EvaluationCode0
A Coherent Unsupervised Model for Toponym ResolutionCode0
Geo-referencing Place from Everyday Natural Language Descriptions—0
Text-Driven Toponym Resolution using Indirect Supervision—0
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