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Feature Embedding for Dependency Parsing
Wenliang Chen
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Yue Zhang
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Min Zhang
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Paper Details:
Month: August
Year: 2014
Location: Dublin, Ireland
Venue:
COLING |
Citations
URL
Semi-supervised Dependency Parsing using Bilexical Contextual Features from Auto-Parsed Data
Eliyahu Kiperwasser
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Yoav Goldberg
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Transition-based Dependency Parsing Using Two Heterogeneous Gated Recursive Neural Networks
Xinchi Chen
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Yaqian Zhou
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Chenxi Zhu
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Xipeng Qiu
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Xuanjing Huang
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Word-Context Character Embeddings for Chinese Word Segmentation
Hao Zhou
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Zhenting Yu
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Yue Zhang
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Shujian Huang
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Xinyu Dai
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Jiajun Chen
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DeepCx: A transition-based approach for shallow semantic parsing with complex constructional triggers
Jesse Dunietz
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Jaime Carbonell
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Lori Levin
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Task-Oriented Learning of Word Embeddings for Semantic Relation Classification
Kazuma Hashimoto
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Pontus Stenetorp
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Makoto Miwa
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Yoshimasa Tsuruoka
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Neural CRF Parsing
Greg Durrett
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Dan Klein
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Transition-Based Dependency Parsing with Stack Long Short-Term Memory
Chris Dyer
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Miguel Ballesteros
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Wang Ling
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Austin Matthews
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Noah A. Smith
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A Neural Probabilistic Structured-Prediction Model for Transition-Based Dependency Parsing
Hao Zhou
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Yue Zhang
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Shujian Huang
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Jiajun Chen
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Dependency Link Embeddings: Continuous Representations of Syntactic Substructures
Mohit Bansal
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Replacing OOV Words For Dependency Parsing With Distributional Semantics
Prasanth Kolachina
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Martin Riedl
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Chris Biemann
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http://creativecommons.org/licenses/by/4.0/
http://w3.msi.vxu.se/nivre/research/Penn2Malt.html
Field Of Study
Linguistic Trends
Embeddings
Task
Tagging
Chunking
Named Entity Recognition
Word Segmentation
Approach
Deep Learning
Semi-supervised Learning
Language
Chinese
English
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