SemiNER - Semisupervised Named Entity Recognizer

SemiNER uses distributional word clustering to augment input feature representation. For details see our LREC 2010 paper.

SemiNER is now included in the sequor. The package with the source sequor-0.4.2 includes pre-trained SemiNER models for German and English. See SemiNER for installation and usage information.

Previous versions:

Please report problems to gchrupala@lsv.uni-saarland.de.