Chunking (computing)

If we take an existing supervised NLP system, a simple and general way to improve accuracy is to use unsupervised word… (More)

A predominant portion of Internet services, like content delivery networks, news broadcasting, blogs sharing and social networks… (More)

In machine learning, whether one can build a more accurate classifier by using unlabeled data (semi-supervised learning) is an… (More)

This paper describes a text chunking system based on a generalization of the Winnow algorithm. We propose a general statistical… (More)

We apply Support Vector Machines (SVMs) to identify English base phrases (chunks). SVMs are known to achieve high generalization… (More)

This chapter describes a new algorithm for training Support Vector Machines: Sequential Minimal Optimization, or SMO. Training a… (More)

Dividing sentences in chunks of words is a useful preprocessing step for parsing, information extraction and information… (More)

Eric Brill introduced transformation-based learning and showed that it can do part-ofspeech tagging with fairly high accuracy… (More)

When exposed to a regular stimulus field, for instance, that generated by an artificial grammar, subjects unintentionally learn… (More)

In this article we describe an approach to the construction of a general learning mechanism based on chunking in Soar. Chunking… (More)