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Adapting WordNet to the Medical Domain using Lexicosyntactic Patterns in the Ohsumed Corpus

A. Toumouth, A. Lehireche, D. Widdows, M. Malki
2006 IEEE International Conference on Computer Systems and Applications, 2006.  
In this paper we deal with Ontology Learning, specifically we aim to adapt the WordNet ontology, a general source of lexical knowledge, to the medical domain.  ...  Large scale experiments were conducted by extracting many such pairs of nouns from the Ohsumed corpus and mapping them into WordNet.  ...  ACKNOWLEDGMENTS The authors would like to thank Beate Dorow from Stuttgart University for providing the word pairs corresponding to the Noun_CJC_Noun extracted from Ohsumed corpus.  ... 
doi:10.1109/aiccsa.2006.205214 dblp:conf/aiccsa/ToumouthLWM06 fatcat:djuqjbjlhbeptc26qvztbw7giy

OUP accepted manuscript

2018 Database: The Journal of Biological Databases and Curation  
Ontologies have gained a lot of popularity and recognition in the semantic web because of their extensive use in Internet-based applications.  ...  Moreover, it describes the scope and use of ontology learning in several industries. Finally, the paper discusses challenges of ontology learning along with their corresponding future directions.  ...  For the biological domain, most of the researchers use OHSUMED (http://davis.wpi.edu/xmdv/datasets/ohsumed) (111, 112, 113) and Genia Corpus (http://www.geniaproject.org/ genia-corpus) (114, 115) for  ... 
doi:10.1093/database/bay101 fatcat:krqzvilqpndufj36fj4wsin32i