Noun Phrase Recognition by System Combination

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.

• Publication year

  2000

• Venue

  Applied Natural Language Processing Conference

• Publication date

  2000-04-29

• Fields of study

  Computer Science

• Identifiers
  arXiv cs/0005015
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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