Paper Info
Title
Refining Border Security News Event Geotagging through Deployment of Lexico-Semantic Patterns
Abstract
This paper explores a linguistically-oriented method for assigning fine-grained geotagging information to border security-related events reported in online news. It is based on a Cognitive Linguistics model of the semantics of the Locative Prepositional Phrases (LPP) containing place names in news text. We first propose a corpus annotation standard that assigns certain semantic features, such as Locative Relations, to the place names in news articles. Then, based on this, we build a finite state rule-based system that automatically extracts such features and evaluate how they can help discarding implausible event locations. The goal of the experiment is rather a proof of concept that such semantic information can help outperform standard geotagging methods in the border security domain, nonetheless we argument that systems could be built semi-automatically and across languages, based on the proposed annotation standard.
Year
DOI
Venue
2012
10.1109/EISIC.2012.62
EISIC
Keywords
Field
DocType
corpus annotation standard,online news,outperform standard geotagging method,news text,place name,locative relations,refining border security news,locative prepositional phrases,border security domain,lexico-semantic patterns,proposed annotation standard,news article,event geotagging,geology,semantics,security,knowledge based systems,data mining,grammar
Annotation,Computer science,Knowledge-based systems,Grammar,Geotagging,Natural language processing,Cognitive linguistics,Lexico,Artificial intelligence,Semantics,Locative case
Conference
Citations 
PageRank 
References 
0
0.34
11
Authors
4
Name
Order
Citations
PageRank
Vanni Zavarella113712.73
Jakub Piskorski243550.04
Ana Sofia Esteves321.21
Stefano Bucci491.32