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        <title>Sprucing up the trees – Error detection in treebanks</title>
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    <abstract>We present a method for detecting annotation errors in manually and automatically annotated dependency parse trees, based on ensemble parsing in combination with Bayesian inference, guided by active learning. We evaluate our method in different scenarios: (i) for error detection in dependency treebanks and (ii) for improving parsing accuracy on in- and out-of-domain data.</abstract>
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%0 Conference Proceedings
%T Sprucing up the trees – Error detection in treebanks
%A Rehbein, Ines
%A Ruppenhofer, Josef
%S Proceedings of the 27th International Conference on Computational Linguistics
%D 2018
%8 aug
%I Association for Computational Linguistics
%C Santa Fe, New Mexico, USA
%F rehbein-ruppenhofer-2018-sprucing
%X We present a method for detecting annotation errors in manually and automatically annotated dependency parse trees, based on ensemble parsing in combination with Bayesian inference, guided by active learning. We evaluate our method in different scenarios: (i) for error detection in dependency treebanks and (ii) for improving parsing accuracy on in- and out-of-domain data.
%U https://aclanthology.org/C18-1010
%P 107-118

Markdown (Informal)

[Sprucing up the trees – Error detection in treebanks](https://aclanthology.org/C18-1010) (Rehbein & Ruppenhofer, COLING 2018)

• Sprucing up the trees – Error detection in treebanks (Rehbein & Ruppenhofer, COLING 2018)

ACL

• Ines Rehbein and Josef Ruppenhofer. 2018. Sprucing up the trees – Error detection in treebanks. In Proceedings of the 27th International Conference on Computational Linguistics, pages 107–118, Santa Fe, New Mexico, USA. Association for Computational Linguistics.