Named entity learning and verification: expectation maximization in large corpora

Authors:
Uwe Quasthoff;Christian Biemann;Christian Wolff
Affiliations:
Leipzig University, Leipzig, Germany;Leipzig University, Leipzig, Germany;Leipzig University, Leipzig, Germany
Venue:
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Year:
2002

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Abstract

The regularity of named entities is used to learn names and to extract named entities. Having only a few name elements and a set of patterns the algorithm learns new names and its elements. A verification step assures quality using a large background corpus. Further improvement is reached through classifying the newly learnt elements on character level. Moreover, unsupervised rule learning is discussed.