Use of unsupervised word classes for entity recognition: Application to the detection of disorders in clinical reports

no code implementations • LREC 2014 • Maria Evangelia Chatzimina, Cyril Grouin, Pierre Zweigenbaum

We design and test two syntax-based methods to produce word classes: one applies the Brown clustering algorithm to syntactic dependencies, the other collects latent categories created by a PCFG-LA parser.

Chunking Clustering +2