Papers › Active DOP: A constituency treebank annotation tool with online learning

Active DOP: A constituency treebank annotation tool with online learning

1 Aug 2018COLING 2018 8archive 2025-07-28

Andreas van Cranenburgh

We present a language-independent treebank annotation tool supporting rich annotations with discontinuous constituents and function tags. Candidate analyses are generated by an exemplar-based parsing model that immediately learns from each new annotated sentence during annotation. This makes it suitable for situations in which only a limited seed treebank is available, or a radically different domain is being annotated. The tool offers the possibility to experiment with and evaluate active learning methods to speed up annotation in a naturalistic setting, i.e., measuring actual annotation costs and tracking specific user interactions. The code is made available under the GNU GPL license at https://github.com/andreasvc/activedop.

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