(Culotta and Sorensen, 2004) extended this work to estimate kernel functions between augmented depen-dency trees, while (Kambhatla, 2004) combined lexical features, syntactic features, and semantic features in a maximum entropy model.
after the latent topic features extracted from returned snippets using the Web as the corpus, an SVM classifier is trained as the relation recognition classifier for use in the later experiments.