ShallowParser

In this paper we describe a method for per- forming word sense disambiguation (WSD). The method relies on unsupervised learning and ex- ploits functional relations among words as pro- duced …...

Computational linguists have traditionally sought to model language by finding underlying parameters which govern numerous examples. I describe a different approach which argues that numerous examples themselves, by virtue of …...

Significant amount of work has been devoted recently to develop learning techniques that can be used to gener- ate partial (shallow) analysis of natu- ral language sentences rather than a …...

We present an algorithmic framework for learning multiple related tasks. Our frame- work exploits a form of prior knowledge that relates the output spaces of these tasks. We present PAC …...

In this paper we extend a shallow parser [6] with prepositional phrase attachment. Although the PP attachment task is a well-studied task in a discriminative learning context, it is mostly …...

AbstractThis paper presents a robust linguistic Web service framework for Polish, combining several mature offline linguistic tools in a common online platform. The toolset comprise paragraph-, sentence- and token-level segmenter, …...

In this study, the problem of shallow pars- ing of Hindi-English code-mixed social me- dia text (CSMT) has been addressed. We have annotated the data, developed a language identifier, a …...