A pragmatic guide to geoparsing evaluation: Toponyms, Named Entity Recognition and pragmatics. [PDF]
Gritta M, Pilehvar MT, Collier N.
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Toponym Disambiguation in English-Lithuanian SMT System with Spatial Knowledge.
Proceedings of the 18th Nordic Conference of Computational Linguistics NODALIDA 2011. Editors: Bolette Sandford Pedersen, Gunta Nešpore and Inguna Skadiņa. NEALT Proceedings Series, Vol. 11 (2011), 191-197. © 2011 The editors and contributors. Published by Northern European Association for Language Technology (NEALT) http://omilia.uio.no/nealt ...
Skadiņš, Raivis +2 more
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Bi-directional Recurrent Neural Network Models for Geographic Location Extraction in Biomedical Literature. [PDF]
Magge A +4 more
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Knowledge-driven geospatial location resolution for phylogeographic models of virus migration. [PDF]
Weissenbacher D +6 more
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What's missing in geographical parsing? [PDF]
Gritta M +3 more
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Toponym disambiguation of landscape features using geomorphometric characteristics [PDF]
Derungs Curdin, Purves Ross S.
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Deep neural networks and distant supervision for geographic location mention extraction. [PDF]
Magge A +4 more
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A high-precision rule-based extraction system for expanding geospatial metadata in GenBank records. [PDF]
Tahsin T +7 more
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Mapping the interview transcript: Identifying spatial policy areas from daily working practices. [PDF]
Orford S, Webb B.
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Geoparser: A transformer-based bi-encoder approach for efficient toponym disambiguation
Information retrieval systems face significant challenges when interpreting toponyms in unstructured text due to their inherent ambiguity and context dependency. Traditional methods often struggle with the linguistic complexity involved, making it difficult to resolve these ambiguities effectively.
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