Evaluation of Unsupervised Information Extraction

LREC 2012 Wei WangRomaric Besan{\c{c}}onOlivier FerretBrigitte Grau

Unsupervised methods gain more and more attention nowadays in information extraction area, which allows to design more open extraction systems. In the domain of unsupervised information extraction, clustering methods are of particular importance... (read more)

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