Fast and accurate part-of-speech tagging: The SVM approach revisited.

A two-stage hydrolysis process for polymerizing epsilon-caprolactam is disclosed, whereby water is removed both during hydrolyzation and during the subsequent polycondensation, whereby the cyclic dimer content of the shaped polymer article is below 0.2 percent by weight.

Abstract

In this paper we present a very simple and effective part--of--speech tagger based on Support Vector Machines (SVM). Simplicity and efficiency are achieved by working with linear separators in the primal formulation of SVM, and by using a greedy left-to-right tagging scheme.