Missing Concept Extraction Using Rough Set Theory

Author:

Nabila N. F.,Basir Nurlida,Zaizi Nurzi Juana Mohd,Deris Mustafa Mat

Publisher

Springer Singapore

Reference16 articles.

1. Muzaffar, A.W., Azam, F., Qamar, U.: A relation extraction framework for biomedical text using hybrid feature set. Comput. Math. Methods Med. (2015)

2. Punuru, J., Chen, J.: Learning non-taxonomical semantic relations from domain texts. J. Intell. Inf. Syst. pp. 191–207 (2012)

3. Ribeiro, M.: Extraction of non-taxonomic relations from texts to enrich a basic ontology. Unpublished Master Thesis, School of Information Systems and Computer Engineering, University of Lisbon, Portugal (2014)

4. Serra, I., Girardi, R.: A Process for extracting non-taxonomic relationships of ontologies from text. Intell. Inf. Manage. 3(4), (2011)

5. Serra, I., Girardi, R., Novais, P.: PARNT: a statistic based approach to extract non-taxonomic relationships of ontologies from text. In: 2013 Tenth International Conference Information Technology: New Generations (ITNG), pp. 561–566. IEEE, New York (2013)

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