Snowball: extracting relations from large plain-text collections
DL '00 Proceedings of the fifth ACM conference on Digital libraries
Extending a Lexical Ontology by a Combination of Distributional Semantics Signatures
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Gimme' the context: context-driven automatic semantic annotation with C-PANKOW
WWW '05 Proceedings of the 14th international conference on World Wide Web
Fine grained classification of named entities
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Unsupervised named-entity extraction from the web: an experimental study
Artificial Intelligence
Lexical substitution as a task for WSD evaluation
WSD '02 Proceedings of the ACL-02 workshop on Word sense disambiguation: recent successes and future directions - Volume 8
SemEval-2007 task 10: English lexical substitution task
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
FBK-irst: lexical substitution task exploiting domain and syntagmatic coherence
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Fine-grained classification of named entities exploiting latent semantic kernels
CoNLL '09 Proceedings of the Thirteenth Conference on Computational Natural Language Learning
Automatically generating term-frequency-induced taxonomies
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
Assessing the challenge of fine-grained named entity recognition and classification
NEWS '10 Proceedings of the 2010 Named Entities Workshop
Enhancing the open-domain classification of named entity using linked open data
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
A graph-based approach for ontology population with named entities
Proceedings of the 21st ACM international conference on Information and knowledge management
Universal schema for entity type prediction
Proceedings of the 2013 workshop on Automated knowledge base construction
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We present an approach to ontology population based on a lexical substitution technique. It consists in estimating the plausibility of sentences where the named entity to be classified is substituted with the ones contained in the training data, in our case, a partially populated ontology. Plausibility is estimated by using Web data, while the classification algorithm is instance-based. We evaluated our method on two different ontology population tasks. Experiments show that our solution is effective, outperforming existing methods, and it can be applied to practical ontology population problems.