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Toponym Resolution in discourse
2008 International Conference on Natural Language Processing and Knowledge Engineering, 2008Toponym resolution involves two stages: toponym recognition and reference resolution. The present research proposes an integrative model for the resolution of Chinese toponym reference in discourse. The model employs the concept of cognitive salience, an inherent property of toponym references, to integrate different heuristic reference disambiguation ...
Xuri Tang, Xiaohe Chen, Minxuan Peng
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Toponym extraction and resolution in a digital library
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries, 2012Geospatial metadata enable rich and varied interfaces to digital collections, and present unique challenges and affordances for automated extraction. We describe our findings developing and utilizing a geoparser for the Texas A&M University Libraries' Institutional Repository.
James S. Creel, Katherine Weimer
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Gazetteer-Independent Toponym Resolution Using Geographic Word Profiles
Proceedings of the AAAI Conference on Artificial Intelligence, 2015Toponym resolution, or grounding names of places to their actual locations, is an important problem in analysis of both historical corpora and present-day news and web content. Recent approaches have shifted from rule-based spatial minimization methods to machine learned classifiers that use features of the text surrounding a toponym ...
Grant DeLozier +2 more
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Structured toponym resolution using combined hierarchical place categories
Proceedings of the 7th Workshop on Geographic Information Retrieval, 2013Determining geographic interpretations for place names, or toponyms, involves resolving multiple types of ambiguity. Place names commonly occur within lists and data tables, whose authors frequently omit qualifications (such as city or state containers) for place names because they expect the meaning of individual place names to be obvious from context.
Marco D. Adelfio, Hanan Samet
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Performance evaluation measures for toponym resolution
Proceedings of the 10th Workshop on Geographic Information Retrieval, 2016In this paper, we point out to the shortcomings of precision and recall in evaluating the performance of geoparsing algorithms. We propose separate processes for evaluating toponym recognition and toponym resolution stages, and also propose new metrics that quantify the performance of toponym resolution.
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Toponym resolution in text (abstract only)
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval, 2004Named entity tagging comprises the sub-tasks of identifying a text span and classifying it, but this view ignores the relationship between the entities and the world. Spatial and temporal entities ground events in space-time, and this relationship is vital for applications such as question answering and event tracking.
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UniMelb at SemEval-2019 Task 12: Multi-model combination for toponym resolution
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019This paper describes our submission to SemEval-2019 Task 12 on toponym resolution over scientific articles. We train separate NER models for toponym detection over text extracted from tables vs. text from the body of the paper, and train another auxiliary model to eliminate misdetected toponyms. For toponym disambiguation, we use an SVM classifier with
Haonan Li +4 more
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An evaluation dataset for the toponym resolution task
Computers, Environment and Urban Systems, 2006Abstract Toponym resolution is the task of linking place name instances in a text with spatial footprints, given the context in which they occur. Whereas a lot of work on the evaluation of temporal resolution is ongoing (e.g. [Setzer, A., & Gaizauskas, R. (2000). On the importance of annotating temporal event–event relations in text.
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