Paper Info
Title
Dynamic parameters for cross document coreferece
Abstract
In this paper we present a new algorithm for the Person Cross Document Coreference task. We show that accurate results require a way to adapt the parameters of the similarity function - metrics and threshold -- to the ontological constraints obeyed by individuals. The technique we propose dynamically changes the initial weights computed when the context is analyzed. The weight recomputation is necessary in order to resolve clusters borders, which are inevitably blurred by a static approach. The results show a significant gain in accuracy.
Year
Venue
Keywords
2010
COLING (Posters)
initial weight,dynamic parameter,cross document coreferece,similarity function,significant gain,ontological constraint,clusters border,dynamically change,new algorithm,accurate result,person cross document coreference,static approach
Field
DocType
Volume
Data mining,Ontology,Coreference,Computer science,Natural language processing,Artificial intelligence
Conference
C10-2
Citations 
PageRank 
References 
0
0.34
14
Authors
1
Name
Order
Citations
PageRank
Octavian Popescu17818.05