Subtree mining for relation extraction from Wikipedia
NAACL-Short '07 Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers
International Journal of Human-Computer Studies
Hypernym discovery based on distributional similarity and hierarchical structures
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Open information extraction using Wikipedia
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
BabelNet: building a very large multilingual semantic network
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
MENTA: inducing multilingual taxonomies from wikipedia
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
CROKODIL: a platform for collaborative resource-based learning
EC-TEL'11 Proceedings of the 6th European conference on Technology enhanced learning: towards ubiquitous learning
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CROKODIL is a platform for the support of collaborative resource-based learning with Web resources. It enables the building of learning communities in which learners annotate their relevant resources using tags. In this paper, we propose the use of automatically generated large-scale taxonomies in different languages to cope with two challenges in CROKODIL: The multilingualism of the resources, i.e. web resources are in different languages and the connectivity of the semantic network, i.e. learners do not tag resources on the same topic with identical tags. More specifically, we describe a set of features that can be used for detecting hyponymy relations from the category system of Wikipedia.