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SEx BiST: A Multi-Source Trainable Parser with Deep Contextualized Lexical Representations
KyungTae Lim
|
Cheoneum Park
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Changki Lee
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Thierry Poibeau
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Paper Details:
Month: October
Year: 2018
Location: Brussels, Belgium
Venue:
CoNLL |
SIG: SIGNLL
Citations
URL
CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
Daniel Zeman
|
Jan Hajič
|
Martin Popel
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Martin Potthast
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Milan Straka
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Filip Ginter
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Joakim Nivre
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Slav Petrov
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https://doi.org/10.18653/v1/K18-2014
https://github.com/CoNLL-UD-2018/
http://opus.nlpl.eu/
https://github.com/jujbob/
http://hdl.handle.net/11234/1-1989
https://github.com/allenai/allennlp
https://goo.gl/3Fmjke
http://epe.nlpl.eu/
http://arxiv.org/abs/1602.01595
https://aclweb.org/anthology/D16-1211
http://arxiv.org/abs/1611.01734
http://www.aclweb.org/anthology/K/K17/K17-
https://transacl.org/ojs/index.php/tacl/article/view/885
http://www.aclweb.org/anthology/K/K17/K17-
http://arxiv.org/abs/1802.05365
https://doi.org/10.1007/978-3-319-
http://www.aclweb.org/anthology/K/K17/K17-
http://hdl.handle.net/
http://hdl.handle.net/11234/1-
Field Of Study
Linguistic Trends
Embeddings
Task
Language Understanding
Tagging
Approach
Deep Learning
Language
Multilingual
Chinese
English
Japanese
Korean
Low-Resource Languages
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