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Searching for Semantic Relations between Named Entities in I-CAB. (2009)
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BibTeX
@MISC{Celli09searchingfor,
author = {Fabio Celli},
title = {Searching for Semantic Relations between Named Entities in I-CAB.},
year = {2009}
}
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Abstract
This paper describes the experiments for the extraction from I-CAB of three different semantic realtion types (role, social, location) holding between two named entities in Italian. The method adopted exploits the information about the part-of-speech of the context before and between the two entities. This method, called Part-Of-Speech Context Count (POSCo) obtained an F1-measure of 0.812 using simply decision trees and decision lists algorithms. The rules extracted from this experiment are implemented in a semantic relation annotator (called RA) compatible with the TextPro tool suite. 1 Introduction and related work I-CAB [6] (Italian Content Annotation Bank) is a Italian corpus made of 525 news documents taken from a local newspaper named ”LAdige”, annotated with temporal expressions and 4 named entity types (person, organization, location and geo-political entity), the same entity types can be detected automatically
Keyphrases
named entity semantic relation entity type news document textpro tool suite different semantic realtion type decision tree part-of-speech context count decision list geo-political entity italian content annotation bank related work i-cab temporal expression semantic relation annotator italian corpus local newspaper
