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{{Publication
|type=Journal article
|title=Automatising the learning of lexical patterns: an application to the enrichment of WordNet by extracting semantic relationships from Wikipedia
|authors=Maria Ruiz-Casado, Enrique Alfonseca, Pablo Castells
|published_in=Data and Knowledge Engineering
|typeyear=Journal article|peer_reviewed=yes|language=English2007
|volume=61
|issue=3
|year=2007
|pages=484-499
|url=http://dx.doi.org/10.1016/j.datak.2006.06.011
|peer_reviewed=Yes|added_by_wikilit_team=Added on initial load|article_language=English|abstract=This paper describes an automatic approach to identify lexical patterns that represent semantic relationships between concepts in an on-line encyclopedia. Next, these patterns can be applied to extend existing ontologies or semantic networks with new relations. The experiments have been performed with the Simple English Wikipedia and {WordNet} 1.7. A new algorithm has been devised for automatically generalising the lexical patterns found in the encyclopedia entries. We have found general patterns for the hyperonymy, hyponymy, holonymy and meronymy relations and, using them, we have extracted more than 2600 new relationships that did not appear in {WordNet} originally. The precision of these relationships depends on the degree of generality chosen for the patterns and the type of relation, being around 60-70\% for the best combinations proposed. 2006 Elsevier {B.V.} All rights reserved.|research_questionsdoi=n this paper, we present a procedure for automatically enriching an existing lexical semantic network with new relationships extracted from on-line encyclopedic information10. The approach followed is mainly based in the use of lexical patterns that model each type of relationship and natural language processing resources1016/j. The semantic network chosen is WordNet [10], given that it is currently used in many applications, although the procedure is general enough to be used with other ontologiesdatak. The encyclopedia used is the Wikipedia, a collaborative web-based resource which is being constantly updated by its users2006.06.011|gscites=11343221410919744822|topics=Natural Other natural language processingtopics
|domains=Computer science
|research_questions=n this paper, we present a procedure for automatically enriching an existing lexical semantic network with new relationships extracted from on-line encyclopedic information. The approach followed is mainly based in the use of lexical patterns that model each type of relationship and natural language processing resources. The semantic network chosen is WordNet [10], given that it is currently used in many applications, although the procedure is general enough to be used with other ontologies. The encyclopedia used is the Wikipedia, a collaborative web-based resource which is being constantly updated by its users
|theory_type=Design and action
|wikipedia_coverage=Sample data
|theories=Undetermined
|research_design=Experiment |collected_datatypedata_source=Experiment responses, Websites, Wikipedia pages
|collected_data_time_dimension=Cross-sectional
|unit_of_analysis=Article