[jira] [Closed] (OPENNLP-615) GeoEntityLinker should score toponyms based on surrounding context via a model

["Joern Kottmann (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/OPENNLP-615?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joern Kottmann closed OPENNLP-615.
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> GeoEntityLinker should score toponyms based on surrounding context via a model
> ------------------------------------------------------------------------------
>
>                 Key: OPENNLP-615
>                 URL: https://issues.apache.org/jira/browse/OPENNLP-615
>             Project: OpenNLP
>          Issue Type: Sub-task
>          Components: Entity Linker
>    Affects Versions: 1.6.0
>            Reporter: Mark Giaconia
>            Assignee: Mark Giaconia
>             Fix For: 1.6.0
>
>   Original Estimate: 336h
>  Remaining Estimate: 336h
>
> As per the concept in this paper http://www.jasonbaldridge.com/papers/speriosu-baldridge-acl2013.pdf
> the GeoEntityLinker addon should allow a user to score toponyms based on a model. For instance, if the gazateer returns an ambiguous name associated to multiple countries, X and Y, then features should be generated from around the name, and those features should be used as a test set against a categorizer for the country returned and a score generated.
> This functionality also implies the need for a rapid way to generate the models based on user defined data, because countries and location mentions have content that is highly variant. Also, this method will be configurable in the GeoEntityLinker.
> The Sandbox contains a model-builder-prototype that I plan to use to generate the models based on user data and the countrycontext data that the GeoEntityLinker requires, which will make it easy to get started.



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