Paper Info
Title
Mapping WordNet synsets to Wikipedia articles.
Abstract
Lexical knowledge bases (LKBs), such as WordNet, have been shown to be useful for a range of language processing tasks. Extending these resources is an expensive and time-consuming process. This paper describes an approach to address this problem by automatically generating a mapping from WordNet synsets to Wikipedia articles. A sample of synsets has been manually annotated with article matches for evaluation purposes. The automatic methods are shown to create mappings with precision of 87.8% and recall of 46.9%. These mappings can then be used as a basis for enriching WordNet with new relations based on Wikipedia links. The manual and automatically created data is available online.
Year
Venue
Keywords
2012
LREC 2012 - EIGHTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION
Aligning lexical resources,WordNet,Wikipedia
Field
DocType
Citations 
Information retrieval,Computer science,Lexical knowledge,Artificial intelligence,Natural language processing,WordNet,Recall
Conference
6
PageRank 
References 
Authors
0.57
10
2
Name
Order
Citations
PageRank
Samuel Fernando18712.71
Mark Stevenson297091.03