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Turning on the Turbo: Fast Third-Order Non-Projective Turbo Parsers
André Martins
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Miguel Almeida
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Noah A. Smith
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Paper Details:
Month: August
Year: 2013
Location: Sofia, Bulgaria
Venue:
ACL |
Citations
URL
Jointly or Separately: Which is Better for Parsing Heterogeneous Dependencies?
Meishan Zhang
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Wanxiang Che
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Yanqiu Shao
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Ting Liu
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Predictive Incremental Parsing Helps Language Modeling
Arne Köhn
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Timo Baumann
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A subtree-based factorization of dependency parsing
Qiuye Zhao
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Qun Liu
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Incremental Natural Language Processing: Challenges, Strategies, and Evaluation
Arne Köhn
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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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Online Learning for Inexact Hypergraph Search
Hao Zhang
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Liang Huang
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Kai Zhao
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Ryan McDonald
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Beyond Parallel Data: Joint Word Alignment and Decipherment Improves Machine Translation
Qing Dou
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Ashish Vaswani
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Kevin Knight
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The Inside-Outside Recursive Neural Network model for Dependency Parsing
Phong Le
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Willem Zuidema
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A Dependency Parser for Tweets
Lingpeng Kong
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Nathan Schneider
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Swabha Swayamdipta
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Archna Bhatia
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Chris Dyer
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Noah A. Smith
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Greed is Good if Randomized: New Inference for Dependency Parsing
Yuan Zhang
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Tao Lei
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Regina Barzilay
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Tommi Jaakkola
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Efficient Inner-to-outer Greedy Algorithm for Higher-order Labeled Dependency Parsing
Xuezhe Ma
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Eduard Hovy
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Improved Transition-Based Parsing and Tagging with Neural Networks
Chris Alberti
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David Weiss
|
Greg Coppola
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Slav Petrov
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What’s in an Embedding? Analyzing Word Embeddings through Multilingual Evaluation
Arne Köhn
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The Structured Weighted Violations Perceptron Algorithm
Rotem Dror
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Roi Reichart
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Effective Greedy Inference for Graph-based Non-Projective Dependency Parsing
Ilan Tchernowitz
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Liron Yedidsion
|
Roi Reichart
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An Evaluation of Parser Robustness for Ungrammatical Sentences
Homa B. Hashemi
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Rebecca Hwa
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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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Learning What’s Easy: Fully Differentiable Neural Easy-First Taggers
André F. T. Martins
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Julia Kreutzer
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Multilingual Clustering of Streaming News
Sebastião Miranda
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Artūrs Znotiņš
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Shay B. Cohen
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Guntis Barzdins
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A Joint Model for Quotation Attribution and Coreference Resolution
Mariana S. C. Almeida
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Miguel B. Almeida
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André F. T. Martins
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Parsing Universal Dependencies without training
Héctor Martínez Alonso
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Željko Agić
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Barbara Plank
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Anders Søgaard
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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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Cross-Lingual Syntactically Informed Distributed Word Representations
Ivan Vulić
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Dependency Parsing with Partial Annotations: An Empirical Comparison
Yue Zhang
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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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IMS at the CoNLL 2017 UD Shared Task: CRFs and Perceptrons Meet Neural Networks
Anders Björkelund
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Agnieszka Falenska
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Xiang Yu
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Jonas Kuhn
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A Novel Neural Network Model for Joint POS Tagging and Graph-based Dependency Parsing
Dat Quoc Nguyen
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Mark Dras
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Mark Johnson
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A System for Experiments with Dependency Parsers
Kiril Simov
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Iliana Simova
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Ginka Ivanova
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Maria Mateva
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Petya Osenova
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Priberam Compressive Summarization Corpus: A New Multi-Document Summarization Corpus for European Portuguese
Miguel B. Almeida
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Mariana S. C. Almeida
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André F. T. Martins
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Helena Figueira
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Pedro Mendes
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Cláudia Pinto
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Adapting the TANL tool suite to Universal Dependencies
Maria Simi
|
Giuseppe Attardi
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SYN2015: Representative Corpus of Contemporary Written Czech
Michal Křen
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Václav Cvrček
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Tomáš Čapka
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Anna Čermáková
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Milena Hnátková
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Lucie Chlumská
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Tomáš Jelínek
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Dominika Kováříková
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Vladimír Petkevič
|
Pavel Procházka
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Hana Skoumalová
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Michal Škrabal
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Petr Truneček
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Pavel Vondřička
|
Adrian Jan Zasina
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Unsupervised Dependency Parsing: Let’s Use Supervised Parsers
Phong Le
|
Willem Zuidema
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Transforming Dependencies into Phrase Structures
Lingpeng Kong
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Alexander M. Rush
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Noah A. Smith
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#WhyIStayed, #WhyILeft: Microblogging to Make Sense of Domestic Abuse
Nicolas Schrading
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Cecilia Ovesdotter Alm
|
Raymond Ptucha
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Christopher Homan
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Template Kernels for Dependency Parsing
Hillel Taub-Tabib
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Yoav Goldberg
|
Amir Globerson
|
Steps to Excellence: Simple Inference with Refined Scoring of Dependency Trees
Yuan Zhang
|
Tao Lei
|
Regina Barzilay
|
Tommi Jaakkola
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Amir Globerson
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Low-Rank Tensors for Scoring Dependency Structures
Tao Lei
|
Yu Xin
|
Yuan Zhang
|
Regina Barzilay
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Tommi Jaakkola
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A Discriminative Graph-Based Parser for the Abstract Meaning Representation
Jeffrey Flanigan
|
Sam Thomson
|
Jaime Carbonell
|
Chris Dyer
|
Noah A. Smith
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Enforcing Structural Diversity in Cube-pruned Dependency Parsing
Hao Zhang
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Ryan McDonald
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Incremental Predictive Parsing with TurboParser
Arne Köhn
|
Wolfgang Menzel
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Structured Training for Neural Network Transition-Based Parsing
David Weiss
|
Chris Alberti
|
Michael Collins
|
Slav Petrov
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It Depends: Dependency Parser Comparison Using A Web-based Evaluation Tool
Jinho D. Choi
|
Joel Tetreault
|
Amanda Stent
|
Aligning Opinions: Cross-Lingual Opinion Mining with Dependencies
Mariana S. C. Almeida
|
Cláudia Pinto
|
Helena Figueira
|
Pedro Mendes
|
André F. T. Martins
|
Unifying Bayesian Inference and Vector Space Models for Improved Decipherment
Qing Dou
|
Ashish Vaswani
|
Kevin Knight
|
Chris Dyer
|
Transferring Coreference Resolvers with Posterior Regularization
André F. T. Martins
|
Parsing as Reduction
Daniel Fernández-González
|
André F. T. Martins
|
Boosting Transition-based AMR Parsing with Refined Actions and Auxiliary Analyzers
Chuan Wang
|
Nianwen Xue
|
Sameer Pradhan
|
On the Importance of Ezafe Construction in Persian Parsing
Alireza Nourian
|
Mohammad Sadegh Rasooli
|
Mohsen Imany
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Heshaam Faili
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Probabilistic Graph-based Dependency Parsing with Convolutional Neural Network
Zhisong Zhang
|
Hai Zhao
|
Lianhui Qin
|
Learning Prototypical Event Structure from Photo Albums
Antoine Bosselut
|
Jianfu Chen
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David Warren
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Hannaneh Hajishirzi
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Yejin Choi
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Globally Normalized Transition-Based Neural Networks
Daniel Andor
|
Chris Alberti
|
David Weiss
|
Aliaksei Severyn
|
Alessandro Presta
|
Kuzman Ganchev
|
Slav Petrov
|
Michael Collins
|
Is “Universal Syntax” Universally Useful for Learning Distributed Word Representations?
Ivan Vulić
|
Anna Korhonen
|
Argument Mining with Structured SVMs and RNNs
Vlad Niculae
|
Joonsuk Park
|
Claire Cardie
|
Deep Multitask Learning for Semantic Dependency Parsing
Hao Peng
|
Sam Thomson
|
Noah A. Smith
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Stack-Pointer Networks for Dependency Parsing
Xuezhe Ma
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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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Backpropagating through Structured Argmax using a SPIGOT
Hao Peng
|
Sam Thomson
|
Noah A. Smith
|
A Crossing-Sensitive Third-Order Factorization for Dependency Parsing
Emily Pitler
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Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment
Yonatan Belinkov
|
Tao Lei
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Regina Barzilay
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Amir Globerson
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A Graph-based Lattice Dependency Parser for Joint Morphological Segmentation and Syntactic Analysis
Wolfgang Seeker
|
Özlem Çetinoğlu
|
Approximation-Aware Dependency Parsing by Belief Propagation
Matthew R. Gormley
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Mark Dredze
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Jason Eisner
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Transforming Dependency Structures to Logical Forms for Semantic Parsing
Siva Reddy
|
Oscar Täckström
|
Michael Collins
|
Tom Kwiatkowski
|
Dipanjan Das
|
Mark Steedman
|
Mirella Lapata
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Efficient Structured Inference for Transition-Based Parsing with Neural Networks and Error States
Ashish Vaswani
|
Kenji Sagae
|
Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations
Eliyahu Kiperwasser
|
Yoav Goldberg
|
Easy-First Dependency Parsing with Hierarchical Tree LSTMs
Eliyahu Kiperwasser
|
Yoav Goldberg
|
Pushing the Limits of Translation Quality Estimation
André F. T. Martins
|
Marcin Junczys-Dowmunt
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Fabio N. Kepler
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Ramón Astudillo
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Chris Hokamp
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Roman Grundkiewicz
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CMU: Arc-Factored, Discriminative Semantic Dependency Parsing
Sam Thomson
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Brendan O’Connor
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Jeffrey Flanigan
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David Bamman
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Jesse Dodge
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Swabha Swayamdipta
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Nathan Schneider
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Chris Dyer
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Noah A. Smith
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Priberam: A Turbo Semantic Parser with Second Order Features
André F. T. Martins
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Mariana S. C. Almeida
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Lisbon: Evaluating TurboSemanticParser on Multiple Languages and Out-of-Domain Data
Mariana S. C. Almeida
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André F. T. Martins
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An empirical study for Vietnamese dependency parsing
Dat Quoc Nguyen
|
Mark Dras
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Mark Johnson
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Parsing Croatian and Serbian by Using Croatian Dependency Treebanks
Željko Agić
|
Danijela Merkler
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Daša Berović
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Enhancing the Inside-Outside Recursive Neural Network Reranker for Dependency Parsing
Phong Le
|
Findings of the 2016 Conference on Machine Translation
Ondřej Bojar
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Rajen Chatterjee
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Christian Federmann
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Yvette Graham
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Barry Haddow
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Matthias Huck
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Antonio Jimeno Yepes
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Philipp Koehn
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Varvara Logacheva
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Christof Monz
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Matteo Negri
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Aurélie Névéol
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Mariana Neves
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Martin Popel
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Matt Post
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Raphael Rubino
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Carolina Scarton
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Lucia Specia
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Marco Turchi
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Karin Verspoor
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Marcos Zampieri
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Evaluating Embeddings using Syntax-based Classification Tasks as a Proxy for Parser Performance
Arne Köhn
|
Parsing transcripts of speech
Andrew Caines
|
Michael McCarthy
|
Paula Buttery
|
Unbabel’s Participation in the WMT17 Translation Quality Estimation Shared Task
André F. T. Martins
|
Fabio Kepler
|
José Monteiro
|
Dependency Language Models for Transition-based Dependency Parsing
Juntao Yu
|
Bernd Bohnet
|
Prepositional Phrase Attachment over Word Embedding Products
Pranava Swaroop Madhyastha
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Xavier Carreras
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Ariadna Quattoni
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Annotating Italian Social Media Texts in Universal Dependencies
Manuela Sanguinetti
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Cristina Bosco
|
Alessandro Mazzei
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Alberto Lavelli
|
Fabio Tamburini
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Assessing the Impact of Incremental Error Detection and Correction. A Case Study on the Italian Universal Dependency Treebank
Chiara Alzetta
|
Felice Dell’Orletta
|
Simonetta Montemagni
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Maria Simi
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Giulia Venturi
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A POS Tagging Model Adapted to Learner English
Ryo Nagata
|
Tomoya Mizumoto
|
Yuta Kikuchi
|
Yoshifumi Kawasaki
|
Kotaro Funakoshi
|
http://www.ark.cs.cmu.edu/TurboParser
Field Of Study
Linguistic Trends
Syntax
Language
Multilingual
Chinese
English
Japanese
Spanish
Arabic
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