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The HIT-SCIR System for End-to-End Parsing of Universal Dependencies
Wanxiang Che
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Jiang Guo
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Yuxuan Wang
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Bo Zheng
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Huaipeng Zhao
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Yang Liu
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Dechuan Teng
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Ting Liu
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Paper Details:
Month: August
Year: 2017
Location: Vancouver, Canada
Venue:
CoNLL |
SIG: SIGNLL
Citations
URL
Valency-Augmented Dependency Parsing
Tianze Shi
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Lillian Lee
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CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
Daniel Zeman
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Martin Popel
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Milan Straka
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Jan Hajič
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Joakim Nivre
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Filip Ginter
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Juhani Luotolahti
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Sampo Pyysalo
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Slav Petrov
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Martin Potthast
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Francis Tyers
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Elena Badmaeva
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Memduh Gokirmak
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Anna Nedoluzhko
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Silvie Cinková
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Jan Hajič jr.
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Jaroslava Hlaváčová
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Václava Kettnerová
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Zdeňka Urešová
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Jenna Kanerva
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Stina Ojala
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Anna Missilä
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Christopher D. Manning
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Sebastian Schuster
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Siva Reddy
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Dima Taji
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Nizar Habash
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Herman Leung
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Marie-Catherine de Marneffe
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Manuela Sanguinetti
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Maria Simi
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Hiroshi Kanayama
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Valeria de Paiva
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Kira Droganova
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Héctor Martínez Alonso
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Çağrı Çöltekin
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Umut Sulubacak
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Hans Uszkoreit
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Vivien Macketanz
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Aljoscha Burchardt
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Kim Harris
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Katrin Marheinecke
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Georg Rehm
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Tolga Kayadelen
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Mohammed Attia
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Ali Elkahky
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Zhuoran Yu
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Emily Pitler
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Saran Lertpradit
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Michael Mandl
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Jesse Kirchner
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Hector Fernandez Alcalde
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Jana Strnadová
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Esha Banerjee
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Ruli Manurung
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Antonio Stella
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Atsuko Shimada
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Sookyoung Kwak
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Gustavo Mendonça
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Tatiana Lando
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Rattima Nitisaroj
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Josie Li
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Generating Sentences by Editing Prototypes
Kelvin Guu
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Tatsunori B. Hashimoto
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Yonatan Oren
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Percy Liang
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https://github.com/clab/fast_align
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-
http://arxiv.org/abs/1506.06158
Field Of Study
Linguistic Trends
Embeddings
Task
Tagging
Word Segmentation
Approach
Semi-supervised Learning
Language
Multilingual
Chinese
Japanese
Korean
Low-Resource Languages
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