Chunking with WPDV Models

In this paper I describe the application of the WPDV algorithm to the CoNLL-2000 shared task, the identification of base chunks in English text (Tjong Kim Sang and Buchholz, 2000). For this task, I use a three-stage architecture: I first run five different base chunkers, then combine them and finally try to correct some recurring errors. Except for one base chunker, which uses the memory-based machine learning system TiMBL, all modules are based on WPDV models (van Halteren, 2000a).

• Publication year

  2000

• Venue

  CoNLL/LLL

• Publication date

  2000-09-13

• Fields of study

  Linguistics, Computer Science

• Identifiers
  DOI 10.3115/1117601.1117639
• 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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