Learning dictionaries for information extraction by multi-level bootstrapping
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Noun-phrase co-occurrence statistics for semiautomatic semantic lexicon construction
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
A bootstrapping method for learning semantic lexicons using extraction pattern contexts
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Named entity learning and verification: expectation maximization in large corpora
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Adaptive ALE-Tbox for extending terminological knowledge
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
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The paper describes a language-independent approach for semiautomatic extension of lexical-semantic word nets and evaluates the method on CoreNet, the Korean version of word net. In a bootstrapping fashion, the so-called 'Pendulum Algorithm' operates on word sets obtained by co-occurrence statistics on a large un-annotated corpus and keeps error propagation low by a verification step. Results are not sufficient for automatic extension, but provide a good candidate set. Further improvements are discussed.