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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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Paper Details:
Month: July
Year: 2015
Location: Beijing, China
Venue:
ACL |
IJCNLP |
Citations
URL
A Universal Framework for Inductive Transfer Parsing across Multi-typed Treebanks
Jiang Guo
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Wanxiang Che
|
Haifeng Wang
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Ting Liu
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Two Local Models for Neural Constituent Parsing
Zhiyang Teng
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Yue Zhang
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Seq2seq Dependency Parsing
Zuchao Li
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Jiaxun Cai
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Shexia He
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Hai Zhao
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Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMs
Miguel Ballesteros
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Chris Dyer
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Noah A. Smith
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Combining Discrete and Continuous Features for Deterministic Transition-based Dependency Parsing
Meishan Zhang
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Yue Zhang
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Semi-supervised Dependency Parsing using Bilexical Contextual Features from Auto-Parsed Data
Eliyahu Kiperwasser
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Yoav Goldberg
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Improved Transition-Based Parsing and Tagging with Neural Networks
Chris Alberti
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David Weiss
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Greg Coppola
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Slav Petrov
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Sequence-to-Sequence Learning as Beam-Search Optimization
Sam Wiseman
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Alexander M. Rush
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Transition-Based Dependency Parsing with Heuristic Backtracking
Jacob Buckman
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Miguel Ballesteros
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Chris Dyer
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Globally Normalized Reader
Jonathan Raiman
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John Miller
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Incremental Graph-based Neural Dependency Parsing
Xiaoqing Zheng
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End-to-End Neural Relation Extraction with Global Optimization
Meishan Zhang
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Yue Zhang
|
Guohong Fu
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Transition-Based Disfluency Detection using LSTMs
Shaolei Wang
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Wanxiang Che
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Yue Zhang
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Meishan Zhang
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Ting Liu
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On Tree-Based Neural Sentence Modeling
Haoyue Shi
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Hao Zhou
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Jiaze Chen
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Lei Li
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Transition-based Spinal Parsing
Miguel Ballesteros
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Xavier Carreras
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LibN3L:A Lightweight Package for Neural NLP
Meishan Zhang
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Jie Yang
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Zhiyang Teng
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Yue Zhang
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Evaluating a Deterministic Shift-Reduce Neural Parser for Constituent Parsing
Hao Zhou
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Yue Zhang
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Shujian Huang
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Xin-Yu Dai
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Jiajun Chen
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Expected F-Measure Training for Shift-Reduce Parsing with Recurrent Neural Networks
Wenduan Xu
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Michael Auli
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Stephen Clark
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Shift-Reduce CCG Parsing using Neural Network Models
Bharat Ram Ambati
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Tejaswini Deoskar
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Mark Steedman
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Structured Training for Neural Network Transition-Based Parsing
David Weiss
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Chris Alberti
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Michael Collins
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Slav Petrov
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Transition-Based Neural Word Segmentation
Meishan Zhang
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Yue Zhang
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Guohong Fu
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Probabilistic Graph-based Dependency Parsing with Convolutional Neural Network
Zhisong Zhang
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Hai Zhao
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Lianhui Qin
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Neural Word Segmentation with Rich Pretraining
Jie Yang
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Yue Zhang
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Fei Dong
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Universal Dependencies Parsing for Colloquial Singaporean English
Hongmin Wang
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Yue Zhang
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GuangYong Leonard Chan
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Jie Yang
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Hai Leong Chieu
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Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings
Bernd Bohnet
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Ryan McDonald
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Gonçalo Simões
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Daniel Andor
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Emily Pitler
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Joshua Maynez
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Supervised Treebank Conversion: Data and Approaches
Xinzhou Jiang
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Zhenghua Li
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Bo Zhang
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Min Zhang
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Sheng Li
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Luo Si
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Shift-Reduce Constituent Parsing with Neural Lookahead Features
Jiangming Liu
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Yue Zhang
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Encoder-Decoder Shift-Reduce Syntactic Parsing
Jiangming Liu
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Yue Zhang
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http://stp.lingfil.uu.se/
http://ronan.collobert.com/senna/
Field Of Study
Linguistic Trends
Embeddings
Task
Tagging
Approach
Deep Learning
Structured Prediction
Semi-supervised Learning
Language
English
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