Acquiring Ontological Relationships from Wikipedia Using RMRS
A. Herbelot, and A. Copestake. Proc.of the ISWC 2006 Workshop on Web Content Mining with Human Language Technologies, (2006)
Abstract
We investigate the extraction of ontologies from biological text using a semantic representation derived from a robust parser. The use of a semantic representation avoids the problems that traditional pattern-based approaches have with complex syntactic constructions and long-distance dependencies. The discovery of taxonomic relationships is explored in a corpus consisting of 12,200 animal-related articles from the online encyclopaedia Wikipedia. The semantic representation used is Robust Minimal Recursion Semantics (RMRS). Initial experiments show good results in systematising extraction across a variety of hyponymic constructions.
%0 Conference Paper
%1 HC06
%A Herbelot, Aurelie
%A Copestake, Ann
%B Proc.of the ISWC 2006 Workshop on Web Content Mining with Human Language Technologies
%D 2006
%K linguistics ontology semantic text-mining wikipedia
%T Acquiring Ontological Relationships from Wikipedia Using RMRS
%U http://orestes.ii.uam.es/workshop/12.pdf
%X We investigate the extraction of ontologies from biological text using a semantic representation derived from a robust parser. The use of a semantic representation avoids the problems that traditional pattern-based approaches have with complex syntactic constructions and long-distance dependencies. The discovery of taxonomic relationships is explored in a corpus consisting of 12,200 animal-related articles from the online encyclopaedia Wikipedia. The semantic representation used is Robust Minimal Recursion Semantics (RMRS). Initial experiments show good results in systematising extraction across a variety of hyponymic constructions.
@inproceedings{HC06,
abstract = {We investigate the extraction of ontologies from biological text using a semantic representation derived from a robust parser. The use of a semantic representation avoids the problems that traditional pattern-based approaches have with complex syntactic constructions and long-distance dependencies. The discovery of taxonomic relationships is explored in a corpus consisting of 12,200 animal-related articles from the online encyclopaedia Wikipedia. The semantic representation used is Robust Minimal Recursion Semantics (RMRS). Initial experiments show good results in systematising extraction across a variety of hyponymic constructions.},
added-at = {2008-02-10T02:19:38.000+0100},
author = {Herbelot, Aurelie and Copestake, Ann},
biburl = {https://www.bibsonomy.org/bibtex/2b4551ac88a3954153d61e86be6f188c2/brightbyte},
booktitle = {Proc.of the ISWC 2006 Workshop on Web Content Mining with Human Language Technologies},
citeulike-article-id = {2162734},
description = {stuff from citeyoulike},
interhash = {2c294b2c79612e073b0574d6a5891df9},
intrahash = {b4551ac88a3954153d61e86be6f188c2},
keywords = {linguistics ontology semantic text-mining wikipedia},
priority = {2},
timestamp = {2009-01-23T09:58:50.000+0100},
title = {Acquiring Ontological Relationships from Wikipedia Using RMRS},
url = {http://orestes.ii.uam.es/workshop/12.pdf},
year = 2006
}