Abstract We apply Support Vector Machines (SVMs) to identify English base phrases
(chunks). SVMs are known to achieve high generalization performance even with input data …

Computational syntactic processing is a fundamental technique in natural language
processing. It normally serves as a pre-processing method to transform natural language …

We examine how differences in language models, learned by different data-driven systems
performing the same NLP task, can be exploited to yield a higher accuracy than the best …

This paper describes a text chunking system based on a generalization of the Winnow
algorithm. We propose a general statistical model for text chunking which we then convert …

We present a unified technique to solve different shallow parsing tasks as a tagging problem
using a Hidden Markov Model-based approach (HMM). This technique consists of the …

This paper considers the hypothesis that voting between multiple data representations can
be more accurate than voting between multiple learning models. This hypothesis has been …

In recent years, international crude oil prices have been subject to unusually high
fluctuations due to the ravages of the COVID-19 epidemic. Under such extreme market …

We present memory-based learning approaches to shallow parsing and apply these to five
tasks: base noun phrase identification, arbitrary base phrase recognition, clause detection …

Text chunking is an essential pre-processing step in information extraction systems. No
comparative studies of chunking systems, including sentence splitting, tokenization and part …