Automatic Extraction of Semantic Relationships for WordNet by Means of Pattern Learning from Wikipedia
M. Ruiz-Casado, E. Alfonseca, und P. Castells.
Natural Language Processing and Information Systems, Volume 3513 von Lecture Notes in Computer Science, Springer, Berlin / Heidelberg, (2005)

This paper describes an automatic approach to identify lexical patterns which represent semantic relationships between concepts, from 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 1200 new relationships that did not appear in WordNet originally. The precision of these relationships ranges between 0.61 and 0.69, depending on the relation.

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@incollection{ruizcasado2005automatic,
  abstract = {This paper describes an automatic approach to identify lexical patterns which represent semantic relationships between concepts, from 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 1200 new relationships that did not appear in WordNet originally. The precision of these relationships ranges between 0.61 and 0.69, depending on the relation.},
  added-at = {2011-02-04T16:06:03.000+0100},
  address = {Berlin / Heidelberg},
  affiliation = {Computer Science Dep., Universidad Autonoma de Madrid, 28049 Madrid Spain},
  author = {Ruiz-Casado, Maria and Alfonseca, Enrique and Castells, Pablo},
  biburl = {https://puma.uni-kassel.de/bibtex/253d9a5edc19dbc8b20705768b2518fd2/benz},
  booktitle = {Natural Language Processing and Information Systems},
  description = {SpringerLink - Abstract},
  doi = {10.1007/11428817_7},
  editor = {Montoyo, Andrés and Muñoz, Rafael and Métais, Elisabeth},
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  groups = {public},
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  keywords = {ol_web2.0 patterns wikipedia wordnet data_wikis methods_relations},
  pages = {233-242},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  timestamp = {2011-02-17T17:43:01.000+0100},
  title = {Automatic Extraction of Semantic Relationships for WordNet by Means of Pattern Learning from Wikipedia},
  url = {http://dx.doi.org/10.1007/11428817_7},
  username = {dbenz},
  volume = 3513,
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}

%0 Book Section
%1 ruizcasado2005automatic
%A Ruiz-Casado, Maria
%A Alfonseca, Enrique
%A Castells, Pablo
%B Natural Language Processing and Information Systems
%C Berlin / Heidelberg
%D 2005
%E Montoyo, Andrés
%E Muñoz, Rafael
%E Métais, Elisabeth
%I Springer
%K ol_web2.0 patterns wikipedia wordnet data_wikis methods_relations
%P 233-242
%R 10.1007/11428817_7
%T Automatic Extraction of Semantic Relationships for WordNet by Means of Pattern Learning from Wikipedia
%U http://dx.doi.org/10.1007/11428817_7
%V 3513
%X This paper describes an automatic approach to identify lexical patterns which represent semantic relationships between concepts, from 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 1200 new relationships that did not appear in WordNet originally. The precision of these relationships ranges between 0.61 and 0.69, depending on the relation.

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Automatic Extraction of Semantic Relationships for WordNet by Means of Pattern Learning from Wikipedia
M. Ruiz-Casado, E. Alfonseca, und P. Castells.
Natural Language Processing and Information Systems, Volume 3513 von Lecture Notes in Computer Science, Springer, Berlin / Heidelberg, (2005)

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Automatic Extraction of Semantic Relationships for WordNet by Means of Pattern Learning from WikipediaM. Ruiz-Casado, E. Alfonseca, und P. Castells. Natural Language Processing and Information Systems, Volume 3513 von Lecture Notes in Computer Science, Springer, Berlin / Heidelberg, (2005)

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Automatic Extraction of Semantic Relationships for WordNet by Means of Pattern Learning from Wikipedia
M. Ruiz-Casado, E. Alfonseca, und P. Castells.
Natural Language Processing and Information Systems, Volume 3513 von Lecture Notes in Computer Science, Springer, Berlin / Heidelberg, (2005)