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2008

Multi-Task Active Learning for Linguistic Annotations

9 years 5 months ago
Multi-Task Active Learning for Linguistic Annotations
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 corpora. MTAL outperforms random selection and a stronger baseline, onesided example selection, in which one task is pursued using AL and the selected examples are provided also to the other task.
Roi Reichart, Katrin Tomanek, Udo Hahn, Ari Rappop
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where ACL
Authors Roi Reichart, Katrin Tomanek, Udo Hahn, Ari Rappoport
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