Grounding the ungrounded

Estimating locations of unknown place names from linguistic associations and grounded representations

G. Recchia, M.M. Louwerse

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Abstract

    Abstract Spatial locations can be extracted from language statistics, based on the idea that nearby locations are mentioned in similar linguistic contexts, akin to Tobler's first law of geography. However, the performance of language-based estimates is inferior to human estimates, raising questions about whether human spatial representations can actually be informed by such (inferior) statistics. We show that alternative methods of computing co-occurrence statistics improve language-based estimates, illustrating that simple linguistic
    Original languageEnglish
    Title of host publicationProceedings of the 36th Annual Conference of the Cognitive Science Society
    PublisherAustin, TX: Cognitive Science Society
    Pages1270-1275
    Number of pages6
    Publication statusPublished - 2014
    EventCogSci 2014 - Québec City, Canada
    Duration: 23 Jul 201426 Jul 2014

    Conference

    ConferenceCogSci 2014
    CountryCanada
    CityQuébec City
    Period23/07/1426/07/14

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    statistics
    linguistics
    language
    geography
    Law
    performance

    Cite this

    Recchia, G., & Louwerse, M. M. (2014). Grounding the ungrounded: Estimating locations of unknown place names from linguistic associations and grounded representations. In Proceedings of the 36th Annual Conference of the Cognitive Science Society (pp. 1270-1275). Austin, TX: Cognitive Science Society.
    Recchia, G. ; Louwerse, M.M. / Grounding the ungrounded : Estimating locations of unknown place names from linguistic associations and grounded representations. Proceedings of the 36th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society, 2014. pp. 1270-1275
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    abstract = "Abstract Spatial locations can be extracted from language statistics, based on the idea that nearby locations are mentioned in similar linguistic contexts, akin to Tobler's first law of geography. However, the performance of language-based estimates is inferior to human estimates, raising questions about whether human spatial representations can actually be informed by such (inferior) statistics. We show that alternative methods of computing co-occurrence statistics improve language-based estimates, illustrating that simple linguistic",
    author = "G. Recchia and M.M. Louwerse",
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    Recchia, G & Louwerse, MM 2014, Grounding the ungrounded: Estimating locations of unknown place names from linguistic associations and grounded representations. in Proceedings of the 36th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society, pp. 1270-1275, CogSci 2014, Québec City, Canada, 23/07/14.

    Grounding the ungrounded : Estimating locations of unknown place names from linguistic associations and grounded representations. / Recchia, G.; Louwerse, M.M.

    Proceedings of the 36th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society, 2014. p. 1270-1275.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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    N2 - Abstract Spatial locations can be extracted from language statistics, based on the idea that nearby locations are mentioned in similar linguistic contexts, akin to Tobler's first law of geography. However, the performance of language-based estimates is inferior to human estimates, raising questions about whether human spatial representations can actually be informed by such (inferior) statistics. We show that alternative methods of computing co-occurrence statistics improve language-based estimates, illustrating that simple linguistic

    AB - Abstract Spatial locations can be extracted from language statistics, based on the idea that nearby locations are mentioned in similar linguistic contexts, akin to Tobler's first law of geography. However, the performance of language-based estimates is inferior to human estimates, raising questions about whether human spatial representations can actually be informed by such (inferior) statistics. We show that alternative methods of computing co-occurrence statistics improve language-based estimates, illustrating that simple linguistic

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    Recchia G, Louwerse MM. Grounding the ungrounded: Estimating locations of unknown place names from linguistic associations and grounded representations. In Proceedings of the 36th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. 2014. p. 1270-1275