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            <namePart type="given">Mirella</namePart>
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    <abstract>In cross-lingual dependency annotation projection, information is often lost during transfer because of early decoding. We present an end-to-end graph-based neural network dependency parser that can be trained to reproduce matrices of edge scores, which can be directly projected across word alignments. We show that our approach to cross-lingual dependency parsing is not only simpler, but also achieves an absolute improvement of 2.25% averaged across 10 languages compared to the previous state of the art.</abstract>
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%0 Conference Proceedings
%T Cross-Lingual Dependency Parsing with Late Decoding for Truly Low-Resource Languages
%A Schlichtkrull, Michael
%A Søgaard, Anders
%Y Lapata, Mirella
%Y Blunsom, Phil
%Y Koller, Alexander
%S Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
%D 2017
%8 April
%I Association for Computational Linguistics
%C Valencia, Spain
%F schlichtkrull-sogaard-2017-cross
%X In cross-lingual dependency annotation projection, information is often lost during transfer because of early decoding. We present an end-to-end graph-based neural network dependency parser that can be trained to reproduce matrices of edge scores, which can be directly projected across word alignments. We show that our approach to cross-lingual dependency parsing is not only simpler, but also achieves an absolute improvement of 2.25% averaged across 10 languages compared to the previous state of the art.
%U https://aclanthology.org/E17-1021
%P 220-229

Markdown (Informal)

[Cross-Lingual Dependency Parsing with Late Decoding for Truly Low-Resource Languages](https://aclanthology.org/E17-1021) (Schlichtkrull & Søgaard, EACL 2017)

• Cross-Lingual Dependency Parsing with Late Decoding for Truly Low-Resource Languages (Schlichtkrull & Søgaard, EACL 2017)

ACL

• Michael Schlichtkrull and Anders Søgaard. 2017. Cross-Lingual Dependency Parsing with Late Decoding for Truly Low-Resource Languages. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 220–229, Valencia, Spain. Association for Computational Linguistics.