Noun Phrase Recognition by System Combination

TL;DR

This paper enhances noun phrase recognition by combining multiple classifiers with voting techniques, significantly improving performance on standard datasets for base and arbitrary noun phrases.

Contribution

It introduces a system combination approach using diverse data representations and voting to improve noun phrase recognition accuracy.

Findings

Improved performance over previous methods on standard datasets

Effective use of classifier combination and voting techniques

Achieved best reported results for base and arbitrary noun phrases

Abstract

The performance of machine learning algorithms can be improved by combining the output of different systems. In this paper we apply this idea to the recognition of noun phrases.We generate different classifiers by using different representations of the data. By combining the results with voting techniques described in (Van Halteren et.al. 1998) we manage to improve the best reported performances on standard data sets for base noun phrases and arbitrary noun phrases.