Paper Info
Title
Wikipedia Entity Retrieval for Dutch and Spanish.
Abstract
We developed two systems (for Dutch and Spanish) for the GikiCLEF task, in which Wikipedia pages have to be found that match a description in natural language. We concentrated on linguistic analysis of the query, for mapping the question onto the most relevant Wikipedia categories, and for extracting additional constraints that matching pages have to satisfy. In addition, for Spanish we experimented with query expansion for improved recall of the IR process. In both the Dutch and Spanish system we tried to incorporate additional knowledge sources (WordNet, Yago, DbPedia) for better question analysis and retrieval results. The Dutch system obtained a GikiCLEF score of 2.5 (7th overall and 7th for Dutch). The Spanish system was still under development at the time of the ocial evaluation, and performed poorly. We show that the completed system would have performed well at the 2009 task.
Year
Venue
Keywords
2009
CLEF (Working Notes)
spanish,linguistic analysis,wikipedia,dutch,entity ranking
Field
DocType
Citations 
Information retrieval,Query expansion,Computer science,Question analysis,Natural language,Artificial intelligence,Natural language processing,WordNet,Recall,Linguistic analysis
Conference
0
PageRank 
References 
Authors
0.34
4
2
Name
Order
Citations
PageRank
Gosse Bouma148370.88
Sergio Duarte200.34