A Vector Semantics Approach to the Geoparsing Disambiguation Task for Texts in Spanish
Author(s) -
Filomeno Alcántara,
Alejandro Molina,
Victor Hugo da Silva Muniz
Publication year - 2019
Publication title -
kalpa publications in computing
Language(s) - English
Resource type - Conference proceedings
ISSN - 2515-1762
DOI - 10.29007/pl5h
Subject(s) - computer science , ranking (information retrieval) , task (project management) , semantics (computer science) , information retrieval , representation (politics) , natural language processing , information extraction , artificial intelligence , management , politics , political science , law , economics , programming language
Nowadays, online news sources generate continuous streams of information that includes references to real locations. Linking these locations to coordinates in a map usually requires two steps involving the named entity: extraction and disambiguation. In past years, efforts have been devoted mainly to the first task. Approaches to location disambiguation include knowledge-based, map-based and data-driven methods. In this paper, we present a work in progress for location disambiguation in news documents that uses a vector-semantic representation learned from information sources that include events and geographic descriptions, in order to obtain a ranking for the possible locations. We will describe the proposed method and the results obtained so far, as well as ideas for future work.