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Related Experiment Videos

What's missing in geographical parsing?

Milan Gritta1, Mohammad Taher Pilehvar1, Nut Limsopatham1

  • 1Language Technology Lab (LTL), Department of Theoretical and Applied Linguistics (DTAL), University of Cambridge, 9 West Road, Cambridge, CB3 9DP UK.

Language Resources and Evaluation
|July 2, 2019
PubMed
Summary
This summary is machine-generated.

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Geoparsing, the conversion of place names to coordinates, faces challenges due to diverse language and ambiguity. This study analyzes leading geoparsers and introduces a new Wikipedia corpus to advance the field.

Area of Science:

  • Natural Language Processing (NLP)
  • Geospatial Information Systems (GIS)
  • Computational Linguistics

Background:

  • Geoparsing converts textual place names into geographical coordinates, crucial for applications like emergency response and social media analysis.
  • Current geoparsing methods struggle with linguistic diversity, place name ambiguity, metonymic language, and limited contextual understanding.
  • Existing research often lacks cross-comparison and relies on limited, non-public datasets.

Purpose of the Study:

  • To evaluate and analyze the performance of leading geoparsing tools.
  • To identify and detail the specific challenges hindering accurate geoparsing.
  • To address the scarcity of open-source corpora by releasing an automatically geotagged Wikipedia corpus.

Main Methods:

Keywords:
GeocodingGeoparsingGeotaggingNEDNELNERNLP

Related Experiment Videos

  • Analysis of multiple leading geoparsing tools.
  • Evaluation across diverse textual corpora.
  • Development of an automated geotagging process for a large-scale corpus.

    • Main Results:

    • Detailed performance analysis of leading geoparsers on various datasets.
    • Identification of key challenges including linguistic variation and contextual limitations.
    • Publication of a new, large-scale, automatically geotagged Wikipedia corpus for research.

    Conclusions:

    • Geoparsing remains a complex task requiring robust solutions for real-world applications.
    • The study highlights critical areas for improvement in geoparsing technology.
    • The released corpus will facilitate further research and development in the geoparsing domain.