Finding Cars, Goddesses and Enzymes: Parametrizable Acquisition of Labeled Instances for Open-Domain Information Extraction

Benjamin Van Durme, Marius Pasca

A method is given for the extraction of large numbers of semantic classes along with their corresponding instances. Based on the recombination of elements clustered through distributional similarity, experimental results show the procedure allows for a parametric trade-off between high precision and expanded recall.

Subjects: 10. Knowledge Acquisition; 13. Natural Language Processing

Submitted: Apr 14, 2008


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