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82 Treebanks, 34 Models: Universal Dependency Parsing with Multi-Treebank Models
Aaron Smith
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Bernd Bohnet
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Miryam de Lhoneux
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Joakim Nivre
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Yan Shao
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Sara Stymne
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Paper Details:
Month: October
Year: 2018
Location: Brussels, Belgium
Venue:
CoNLL |
SIG: SIGNLL
Citations
URL
An Investigation of the Interactions Between Pre-Trained Word Embeddings, Character Models and POS Tags in Dependency Parsing
Aaron Smith
|
Miryam de Lhoneux
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Sara Stymne
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Joakim Nivre
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Parameter sharing between dependency parsers for related languages
Miryam de Lhoneux
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Johannes Bjerva
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Isabelle Augenstein
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Anders Søgaard
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CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
Daniel Zeman
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Jan Hajič
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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/K18-2011
https://dumps.wikimedia.org/
https://github.com/apertium/
https://github.com/google/meta_tagger
https://opus.nlpl.eu/OfisPublik.php
https://github.com/PyThaiNLP/
https://radimrehurek.com/gensim/
https://github.com/UppsalaNLP/
https://github.com/facebookresearch/
http://hdl.handle.net/11234/1-2837
Field Of Study
Linguistic Trends
Embeddings
Task
Morphological Analysis
Tagging
Machine Translation
Word Segmentation
Language
Multilingual
Chinese
English
Hindi
Urdu
Japanese
Korean
Spanish
French
Arabic
Hebrew
Low-Resource Languages
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