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A Machine Learning Approach for Resolving Place References in Text

A Machine Learning Approach for Resolving Place References in Text,10.1007/978-3-642-12326-9_12,Bruno Martins,Ivo Anastácio,Pável P. Calado

A Machine Learning Approach for Resolving Place References in Text   (Citations: 3)
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This paper presents a machine learning method for resolving place references in text, i.e. linking character strings in documents to locations on the surface of the Earth. This is a fundamental task in the area of Geographic Information Retrieval, supporting access through geography to large document collections. The proposed method is an instance of stacked learning, in which a first learner based on a Hidden Markov Model is used to annotate place references, and then a second learner implementing a regression through a Support Vector Machine is used to rank the possible disabiguations for the references that were initially annotated. The proposed method was evaluated through gold-standard document collections in three different languages, having place references annotated by humans. Results show that the proposed method compares favorably against commercial state-of-the-art systems such as the Metacarta geo-tagger and Yahoo! Placemaker.
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    • ...Previous GIR research has addressed problems such as the recognition and disambiguation of place references in a text [14], the assignment of documents to encompassing geographic scopes [1], or the retrieval of documents considering geographic relevance [2]...

    Paul N. Bennettet al. Inferring and using location metadata to personalize web search

    • ...Previous research in geographic information retrieval has addressed problems such as the recognition and disambiguation of place references given over text [10, 15], the assignment of documents to encompassing geographic scopes [1], or the retrieval of documents considering geographic relevance [16, 21, 6]. The rst two problems are normally seen as necessary pre-processing tasks, so that later one can use ranking formulas that leverage on ...
    • ...It would be interesting to experiment with features computed from the individual placenames mentioned in the documents [15]...

    Bruno Martinset al. Learning to rank for geographic information retrieval

    • ...Previous works in the area of Geographic Information Retrieval (GIR) have addressed issues such as the recognition and disambiguation of place references in text [13], the assignment of geographic scopes to documents [1], or the retrieval of documents taking geographic relevance into account [14, 12]...
    • ...In a separate publication we measured the performance of the this geotagger for the tasks of recognizing and disambiguating place references [13]...

    Ivo Anastácioet al. Using the Geographic Scopes of Web Documents for Contextual Advertisin...

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