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Globally Normalized Transition-Based Neural Networks
Daniel Andor
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Chris Alberti
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David Weiss
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Aliaksei Severyn
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Alessandro Presta
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Kuzman Ganchev
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Slav Petrov
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Michael Collins
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Paper Details:
Month: August
Year: 2016
Location: Berlin, Germany
Venue:
ACL |
Citations
URL
A Universal Framework for Inductive Transfer Parsing across Multi-typed Treebanks
Jiang Guo
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Wanxiang Che
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Haifeng Wang
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Ting Liu
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Neural Transition-based String Transduction for Limited-Resource Setting in Morphology
Peter Makarov
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Simon Clematide
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Two Local Models for Neural Constituent Parsing
Zhiyang Teng
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Yue Zhang
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Butterfly Effects in Frame Semantic Parsing: impact of data processing on model ranking
Alexandre Kabbach
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Corentin Ribeyre
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Aurélie Herbelot
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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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Structured Representation Learning for Online Debate Stance Prediction
Chang Li
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Aldo Porco
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Dan Goldwasser
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Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles
James Cross
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Liang Huang
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Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser
Adhiguna Kuncoro
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Miguel Ballesteros
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Lingpeng Kong
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Chris Dyer
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Noah A. Smith
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evision PDF of 'LSTM Shift-Reduce CCG Parsing
Wenduan Xu
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Neural Shift-Reduce CCG Semantic Parsing
Dipendra Kumar Misra
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Yoav Artzi
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Training with Exploration Improves a Greedy Stack LSTM Parser
Miguel Ballesteros
|
Yoav Goldberg
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Chris Dyer
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Noah A. Smith
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Bi-directional Attention with Agreement for Dependency Parsing
Hao Cheng
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Hao Fang
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Xiaodong He
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Jianfeng Gao
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Li Deng
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Anchoring and Agreement in Syntactic Annotations
Yevgeni Berzak
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Yan Huang
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Andrei Barbu
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Anna Korhonen
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Boris Katz
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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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Parsing as Language Modeling
Do Kook Choe
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Eugene Charniak
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Global Neural CCG Parsing with Optimality Guarantees
Kenton Lee
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Mike Lewis
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Luke Zettlemoyer
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Fast(er) Exact Decoding and Global Training for Transition-Based Dependency Parsing via a Minimal Feature Set
Tianze Shi
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Liang Huang
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Lillian Lee
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Learning What’s Easy: Fully Differentiable Neural Easy-First Taggers
André F. T. Martins
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Julia Kreutzer
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Incremental Graph-based Neural Dependency Parsing
Xiaoqing Zheng
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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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Semi-supervised Structured Prediction with Neural CRF Autoencoder
Xiao Zhang
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Yong Jiang
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Hao Peng
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Kewei Tu
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Dan Goldwasser
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TAG Parsing with Neural Networks and Vector Representations of Supertags
Jungo Kasai
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Bob Frank
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Tom McCoy
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Owen Rambow
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Alexis Nasr
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Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification
Heike Adel
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Hinrich Schütze
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End-to-End Neural Relation Extraction with Global Optimization
Meishan Zhang
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Yue Zhang
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Guohong Fu
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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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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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WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discourse
Manaal Faruqui
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Ellie Pavlick
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Ian Tenney
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Dipanjan Das
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Cross-lingual Decompositional Semantic Parsing
Sheng Zhang
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Xutai Ma
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Rachel Rudinger
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Kevin Duh
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Benjamin Van Durme
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Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit
Amrith Krishna
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Bishal Santra
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Sasi Prasanth Bandaru
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Gaurav Sahu
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Vishnu Dutt Sharma
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Pavankumar Satuluri
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Pawan Goyal
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Improved Dependency Parsing using Implicit Word Connections Learned from Unlabeled Data
Wenhui Wang
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Baobao Chang
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Mairgup Mansur
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The Importance of Generation Order in Language Modeling
Nicolas Ford
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Daniel Duckworth
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Mohammad Norouzi
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George Dahl
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A method for in-depth comparative evaluation: How (dis)similar are outputs of pos taggers, dependency parsers and coreference resolvers really?
Don Tuggener
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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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If No Media Were Allowed inside the Venue, Was Anybody Allowed?
Zahra Sarabi
|
Eduardo Blanco
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What Do Recurrent Neural Network Grammars Learn About Syntax?
Adhiguna Kuncoro
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Miguel Ballesteros
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Lingpeng Kong
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Chris Dyer
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Graham Neubig
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Noah A. Smith
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Multilingual Back-and-Forth Conversion between Content and Function Head for Easy Dependency Parsing
Ryosuke Kohita
|
Hiroshi Noji
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Yuji Matsumoto
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MT/IE: Cross-lingual Open Information Extraction with Neural Sequence-to-Sequence Models
Sheng Zhang
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Kevin Duh
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Benjamin Van Durme
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Reconstructing the house from the ad: Structured prediction on real estate classifieds
Giannis Bekoulis
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Johannes Deleu
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Thomas Demeester
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Chris Develder
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Don’t Stop Me Now! Using Global Dynamic Oracles to Correct Training Biases of Transition-Based Dependency Parsers
Lauriane Aufrant
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Guillaume Wisniewski
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François Yvon
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Improving a Strong Neural Parser with Conjunction-Specific Features
Jessica Ficler
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Yoav Goldberg
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Dependency Parsing with Partial Annotations: An Empirical Comparison
Yue Zhang
|
Zhenghua Li
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Jun Lang
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Qingrong Xia
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Min Zhang
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Neural Probabilistic Model for Non-projective MST Parsing
Xuezhe Ma
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Eduard Hovy
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Selective Decoding for Cross-lingual Open Information Extraction
Sheng Zhang
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Kevin Duh
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Benjamin Van Durme
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A Novel Neural Network Model for Joint POS Tagging and Graph-based Dependency Parsing
Dat Quoc Nguyen
|
Mark Dras
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Mark Johnson
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A Transition-based System for Universal Dependency Parsing
Hao Wang
|
Hai Zhao
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Zhisong Zhang
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Universal Joint Morph-Syntactic Processing: The Open University of Israel’s Submission to The CoNLL 2017 Shared Task
Amir More
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Reut Tsarfaty
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Modeling Composite Labels for Neural Morphological Tagging
Alexander Tkachenko
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Kairit Sirts
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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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Universal Morpho-Syntactic Parsing and the Contribution of Lexica: Analyzing the ONLP Lab Submission to the CoNLL 2018 Shared Task
Amit Seker
|
Amir More
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Reut Tsarfaty
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Annotating Temporally-Anchored Spatial Knowledge by Leveraging Syntactic Dependencies
Alakananda Vempala
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Eduardo Blanco
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PoSTWITA-UD: an Italian Twitter Treebank in Universal Dependencies
Manuela Sanguinetti
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Cristina Bosco
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Alberto Lavelli
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Alessandro Mazzei
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Oronzo Antonelli
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Fabio Tamburini
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Neural Models of Selectional Preferences for Implicit Semantic Role Labeling
Minh Le
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Antske Fokkens
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Exploring Conversational Language Generation for Rich Content about Hotels
Marilyn Walker
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Albry Smither
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Shereen Oraby
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Vrindavan Harrison
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Hadar Shemtov
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Collective Entity Disambiguation with Structured Gradient Tree Boosting
Yi Yang
|
Ozan Irsoy
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Kazi Shefaet Rahman
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Neural Particle Smoothing for Sampling from Conditional Sequence Models
Chu-Cheng Lin
|
Jason Eisner
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Human Needs Categorization of Affective Events Using Labeled and Unlabeled Data
Haibo Ding
|
Ellen Riloff
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Exploiting Dynamic Oracles to Train Projective Dependency Parsers on Non-Projective Trees
Lauriane Aufrant
|
Guillaume Wisniewski
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François Yvon
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Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks
Diego Marcheggiani
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Joost Bastings
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Ivan Titov
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Non-Projective Dependency Parsing with Non-Local Transitions
Daniel Fernández-González
|
Carlos Gómez-Rodríguez
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Transition-Based Neural Word Segmentation
Meishan Zhang
|
Yue Zhang
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Guohong Fu
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The State of the Art in Semantic Representation
Omri Abend
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Ari Rappoport
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Neural Word Segmentation with Rich Pretraining
Jie Yang
|
Yue Zhang
|
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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Learning to Parse and Translate Improves Neural Machine Translation
Akiko Eriguchi
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Yoshimasa Tsuruoka
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Kyunghyun Cho
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Differentiable Scheduled Sampling for Credit Assignment
Kartik Goyal
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Chris Dyer
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Taylor Berg-Kirkpatrick
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Multilingual Connotation Frames: A Case Study on Social Media for Targeted Sentiment Analysis and Forecast
Hannah Rashkin
|
Eric Bell
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Yejin Choi
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Svitlana Volkova
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Character Composition Model with Convolutional Neural Networks for Dependency Parsing on Morphologically Rich Languages
Xiang Yu
|
Ngoc Thang Vu
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Straight to the Tree: Constituency Parsing with Neural Syntactic Distance
Yikang Shen
|
Zhouhan Lin
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Athul Paul Jacob
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Alessandro Sordoni
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Aaron Courville
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Yoshua Bengio
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Distilling Knowledge for Search-based Structured Prediction
Yijia Liu
|
Wanxiang Che
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Huaipeng Zhao
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Bing Qin
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Ting Liu
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Stack-Pointer Networks for Dependency Parsing
Xuezhe Ma
|
Zecong Hu
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Jingzhou Liu
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Nanyun Peng
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Graham Neubig
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Eduard Hovy
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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
|
Emily Pitler
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Joshua Maynez
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Global Transition-based Non-projective Dependency Parsing
Carlos Gómez-Rodríguez
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Tianze Shi
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Lillian Lee
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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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A Language Model based Evaluator for Sentence Compression
Yang Zhao
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Zhiyuan Luo
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Akiko Aizawa
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Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing
Daniel Fried
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Dan Klein
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In-Order Transition-based Constituent Parsing
Jiangming Liu
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Yue Zhang
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Scheduled Multi-Task Learning: From Syntax to Translation
Eliyahu Kiperwasser
|
Miguel Ballesteros
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Joint Transition-Based Models for Morpho-Syntactic Parsing: Parsing Strategies for MRLs and a Case Study from Modern Hebrew
Amir More
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Amit Seker
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Victoria Basmova
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Reut Tsarfaty
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An empirical study for Vietnamese dependency parsing
Dat Quoc Nguyen
|
Mark Dras
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Mark Johnson
|
Introducing DRAIL – a Step Towards Declarative Deep Relational Learning
Xiao Zhang
|
Maria Leonor Pacheco
|
Chang Li
|
Dan Goldwasser
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Increasing Return on Annotation Investment: The Automatic Construction of a Universal Dependency Treebank for Dutch
Gosse Bouma
|
Gertjan van Noord
|
Dependency Parsing with Dilated Iterated Graph CNNs
Emma Strubell
|
Andrew McCallum
|
Predicting Target Language CCG Supertags Improves Neural Machine Translation
Maria Nădejde
|
Siva Reddy
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Rico Sennrich
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Tomasz Dwojak
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Marcin Junczys-Dowmunt
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Philipp Koehn
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Alexandra Birch
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TAG Parser Evaluation using Textual Entailments
Pauli Xu
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Robert Frank
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Jungo Kasai
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Owen Rambow
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Dependency Language Models for Transition-based Dependency Parsing
Juntao Yu
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Bernd Bohnet
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Encoder-Decoder Shift-Reduce Syntactic Parsing
Jiangming Liu
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Yue Zhang
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Second Language Acquisition Modeling
Burr Settles
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Chris Brust
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Erin Gustafson
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Masato Hagiwara
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Nitin Madnani
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Transition-based Parsing with Lighter Feed-Forward Networks
David Vilares
|
Carlos Gómez-Rodríguez
|
Correcting Length Bias in Neural Machine Translation
Kenton Murray
|
David Chiang
|
http://github.com/tensorflow/models/tree/master/syntaxnet
http://www.tensorflow.org
Field Of Study
Linguistic Trends
Embeddings
Syntax
Task
Tagging
Named Entity Recognition
Approach
Structured Prediction
Language
English
Dataset
News
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