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Stanford’s Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task
Timothy Dozat
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Peng Qi
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Christopher D. Manning
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Paper Details:
Month: August
Year: 2017
Location: Vancouver, Canada
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
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Miryam de Lhoneux
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Sara Stymne
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Joakim Nivre
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An Improved Neural Network Model for Joint POS Tagging and Dependency Parsing
Dat Quoc Nguyen
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Karin Verspoor
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ELMoLex: Connecting ELMo and Lexicon Features for Dependency Parsing
Ganesh Jawahar
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Benjamin Muller
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Amal Fethi
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Louis Martin
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Éric Villemonte de la Clergerie
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Benoît Sagot
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Djamé Seddah
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Character-Level Models versus Morphology in Semantic Role Labeling
Gözde Gül Şahin
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Mark Steedman
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Extended and Enhanced Polish Dependency Bank in Universal Dependencies Format
Alina Wróblewska
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http://www.jstatsoft.org/v33/i02/
http://hdl.handle.net/11234/1-2184
http://hdl.handle.net/
http://hdl.handle.net/11234/1-
https://doi.org/10.1007/978-3-319-
Field Of Study
Linguistic Trends
Embeddings
Morphology
Task
Tagging
Language
English
Hindi
Spanish
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