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    <abstract>We present the TurkuNLP entry in the CoNLL 2017 Shared Task on Multilingual Parsing from Raw Text to Universal Dependencies. The system is based on the UDPipe parser with our focus being in exploring various techniques to pre-train the word embeddings used by the parser in order to improve its performance especially on languages with small training sets. The system ranked 11th among the 33 participants overall, being 8th on the small treebanks, 10th on the large treebanks, 12th on the parallel test sets, and 26th on the surprise languages.</abstract>
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%0 Conference Proceedings
%T TurkuNLP: Delexicalized Pre-training of Word Embeddings for Dependency Parsing
%A Kanerva, Jenna
%A Luotolahti, Juhani
%A Ginter, Filip
%Y Hajič, Jan
%Y Zeman, Dan
%S Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
%D 2017
%8 August
%I Association for Computational Linguistics
%C Vancouver, Canada
%F kanerva-etal-2017-turkunlp
%X We present the TurkuNLP entry in the CoNLL 2017 Shared Task on Multilingual Parsing from Raw Text to Universal Dependencies. The system is based on the UDPipe parser with our focus being in exploring various techniques to pre-train the word embeddings used by the parser in order to improve its performance especially on languages with small training sets. The system ranked 11th among the 33 participants overall, being 8th on the small treebanks, 10th on the large treebanks, 12th on the parallel test sets, and 26th on the surprise languages.
%R 10.18653/v1/K17-3012
%U https://aclanthology.org/K17-3012
%U https://doi.org/10.18653/v1/K17-3012
%P 119-125

Markdown (Informal)

[TurkuNLP: Delexicalized Pre-training of Word Embeddings for Dependency Parsing](https://aclanthology.org/K17-3012) (Kanerva et al., CoNLL 2017)

• TurkuNLP: Delexicalized Pre-training of Word Embeddings for Dependency Parsing (Kanerva et al., CoNLL 2017)

ACL

• Jenna Kanerva, Juhani Luotolahti, and Filip Ginter. 2017. TurkuNLP: Delexicalized Pre-training of Word Embeddings for Dependency Parsing. In Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 119–125, Vancouver, Canada. Association for Computational Linguistics.