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Dependency Parsing as Head Selection
Xingxing Zhang
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Jianpeng Cheng
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Mirella Lapata
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Paper Details:
Month: April
Year: 2017
Location: Valencia, Spain
Venue:
EACL |
Citations
URL
Sprucing up the trees – Error detection in treebanks
Ines Rehbein
|
Josef Ruppenhofer
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Seq2seq Dependency Parsing
Zuchao Li
|
Jiaxun Cai
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Shexia He
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Hai Zhao
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Neural Machine Translation with Source-Side Latent Graph Parsing
Kazuma Hashimoto
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Yoshimasa Tsuruoka
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Stack-based Multi-layer Attention for Transition-based Dependency Parsing
Zhirui Zhang
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Shujie Liu
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Mu Li
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Ming Zhou
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Enhong Chen
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A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
Kazuma Hashimoto
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Caiming Xiong
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Yoshimasa Tsuruoka
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Richard Socher
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Valency-Augmented Dependency Parsing
Tianze Shi
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Lillian Lee
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What do character-level models learn about morphology? The case of dependency parsing
Clara Vania
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Andreas Grivas
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Adam Lopez
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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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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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Colorless Green Recurrent Networks Dream Hierarchically
Kristina Gulordava
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Piotr Bojanowski
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Edouard Grave
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Tal Linzen
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Marco Baroni
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Neural End-to-End Learning for Computational Argumentation Mining
Steffen Eger
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Johannes Daxenberger
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Iryna Gurevych
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What do we need to know about an unknown word when parsing German
Bich-Ngoc Do
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Ines Rehbein
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Anette Frank
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A neural parser as a direct classifier for head-final languages
Hiroshi Kanayama
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Masayasu Muraoka
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Ryosuke Kohita
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Explicitly modeling case improves neural dependency parsing
Clara Vania
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Adam Lopez
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http://github.com/
http://stp.lingfil.uu.se/
http://nlp.stanford.edu/projects/glove/
Field Of Study
Linguistic Trends
Embeddings
Syntax
Task
Tagging
Relation Extraction
Machine Translation
Language
Multilingual
Chinese
English
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