Title
Who Is It? Context Sensitive Named Entity and Instance Recognition by Means of Wikipedia
Abstract
This paper presents an approach for predicting context sensitive entities exemplified in the domain of person names. Our approach is based on building a weighted context but also a weighted people graph and predicting the context entity by extracting the best fitting sub graph using a spreading activation technique. The results of the experiments show a quite promising F-Measure of 0.99.
Year
DOI
Venue
2008
10.1109/WIIAT.2008.421
Web Intelligence
Keywords
Field
DocType
instance recognition,context sensitive entity,promising f-measure,weighted people graph,context entity,activation technique,weighted context,context sensitive,person name,fitting sub graph,wikipedia,internet,encyclopedias,data mining,information retrieval,electronic publishing,information services,spreading activation,text analysis
Information system,Graph,Data mining,Information retrieval,Computer science,Named entity,Encyclopedia,Named-entity recognition,Activation technique,The Internet,Electronic publishing
Conference
Citations 
PageRank 
References 
4
0.42
8
Authors
2
Name
Order
Citations
PageRank
Ulli Waltinger16410.76
Alexander Mehler218636.63