Multi-Task Active Learning for Linguistic Annotations

  title={Multi-Task Active Learning for Linguistic Annotations},
  author={Roi Reichart and Katrin Tomanek and Udo Hahn and Ari Rappoport},
We extend the classical single-task active learning (AL) approach. In the multi-task active learning (MTAL) paradigm, we select examples for several annotation tasks rather than for a single one as usually done in the context of AL. We introduce two MTAL metaprotocols, alternating selection and rank combination, and propose a method to implement them in practice. We experiment with a twotask annotation scenario that includes named entity and syntactic parse tree annotations on three different… CONTINUE READING
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Introduction to the C O NLL2003 shared task : Language - independent named entity recognition

  • Udo Hahn
  • Proceedings of CoNLL ’
  • 2008
1 Excerpt

Approximating learning curves for activelearningdriven annotation An approach to text corpus construction which cuts annotation costs and maintains corpus reusability of annotated data

  • Eduard Hovy
  • 2007
1 Excerpt

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