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Recurrent Neural Network Grammars
Chris Dyer
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Adhiguna Kuncoro
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Miguel Ballesteros
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Noah A. Smith
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Paper Details:
Month: June
Year: 2016
Location: San Diego, California
Venue:
NAACL |
Citations
URL
Syntactic realization with data-driven neural tree grammars
Brian McMahan
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Matthew Stone
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Two Local Models for Neural Constituent Parsing
Zhiyang Teng
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Yue Zhang
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Assessing Composition in Sentence Vector Representations
Allyson Ettinger
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Ahmed Elgohary
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Colin Phillips
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Philip Resnik
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An Empirical Investigation of Error Types in Vietnamese Parsing
Quy Nguyen
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Yusuke Miyao
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Hiroshi Noji
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Nhung Nguyen
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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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A Neural Network Architecture for Multilingual Punctuation Generation
Miguel Ballesteros
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Leo Wanner
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Parsing as Language Modeling
Do Kook Choe
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Eugene Charniak
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AMR Parsing using Stack-LSTMs
Miguel Ballesteros
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Yaser Al-Onaizan
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Effective Inference for Generative Neural Parsing
Mitchell Stern
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Daniel Fried
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Dan Klein
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Dynamic Entity Representations in Neural Language Models
Yangfeng Ji
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Chenhao Tan
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Sebastian Martschat
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Yejin Choi
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Noah A. Smith
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Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
Joost Bastings
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Ivan Titov
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Wilker Aziz
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Diego Marcheggiani
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Khalil Sima’an
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Top-down Tree Structured Decoding with Syntactic Connections for Neural Machine Translation and Parsing
Jetic Gū
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Hassan S. Shavarani
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Anoop Sarkar
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Targeted Syntactic Evaluation of Language Models
Rebecca Marvin
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Tal Linzen
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Rational Recurrences
Hao Peng
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Roy Schwartz
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Sam Thomson
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Noah A. Smith
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Dynamic Oracles for Top-Down and In-Order Shift-Reduce Constituent Parsing
Daniel Fernández-González
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Carlos Gómez-Rodríguez
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Constituent Parsing as Sequence Labeling
Carlos Gómez-Rodríguez
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David Vilares
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Semantic Parsing for Task Oriented Dialog using Hierarchical Representations
Sonal Gupta
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Rushin Shah
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Mrinal Mohit
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Anuj Kumar
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Mike Lewis
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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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Direct Output Connection for a High-Rank Language Model
Sho Takase
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Jun Suzuki
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Masaaki Nagata
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A Tree-based Decoder for Neural Machine Translation
Xinyi Wang
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Hieu Pham
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Pengcheng Yin
|
Graham Neubig
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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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Improving Sequence to Sequence Neural Machine Translation by Utilizing Syntactic Dependency Information
An Nguyen Le
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Ander Martinez
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Akifumi Yoshimoto
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Yuji Matsumoto
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Exploring the Syntactic Abilities of RNNs with Multi-task Learning
Émile Enguehard
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Yoav Goldberg
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Tal Linzen
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Parsing Speech: a Neural Approach to Integrating Lexical and Acoustic-Prosodic Information
Trang Tran
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Shubham Toshniwal
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Mohit Bansal
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Kevin Gimpel
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Karen Livescu
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Mari Ostendorf
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Neural Particle Smoothing for Sampling from Conditional Sequence Models
Chu-Cheng Lin
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Jason Eisner
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Neural Syntactic Generative Models with Exact Marginalization
Jan Buys
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Phil Blunsom
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What’s Going On in Neural Constituency Parsers? An Analysis
David Gaddy
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Mitchell Stern
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Dan Klein
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A Fast Unified Model for Parsing and Sentence Understanding
Samuel R. Bowman
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Jon Gauthier
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Abhinav Rastogi
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Raghav Gupta
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Christopher D. Manning
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Christopher Potts
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Learning Structured Natural Language Representations for Semantic Parsing
Jianpeng Cheng
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Siva Reddy
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Vijay Saraswat
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Mirella Lapata
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Sequence-to-Dependency Neural Machine Translation
Shuangzhi Wu
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Dongdong Zhang
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Nan Yang
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Mu Li
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Ming Zhou
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Abstract Syntax Networks for Code Generation and Semantic Parsing
Maxim Rabinovich
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Mitchell Stern
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Dan Klein
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Robust Incremental Neural Semantic Graph Parsing
Jan Buys
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Phil Blunsom
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A Generative Parser with a Discriminative Recognition Algorithm
Jianpeng Cheng
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Adam Lopez
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Mirella Lapata
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Improving Neural Parsing by Disentangling Model Combination and Reranking Effects
Daniel Fried
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Mitchell Stern
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Dan Klein
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Straight to the Tree: Constituency Parsing with Neural Syntactic Distance
Yikang Shen
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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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Gaussian Mixture Latent Vector Grammars
Yanpeng Zhao
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Liwen Zhang
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Kewei Tu
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LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better
Adhiguna Kuncoro
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Chris Dyer
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John Hale
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Dani Yogatama
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Stephen Clark
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Phil Blunsom
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Constituency Parsing with a Self-Attentive Encoder
Nikita Kitaev
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Dan Klein
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Finding syntax in human encephalography with beam search
John Hale
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Chris Dyer
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Adhiguna Kuncoro
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Jonathan Brennan
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Multi-representation ensembles and delayed SGD updates improve syntax-based NMT
Danielle Saunders
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Felix Stahlberg
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Adrià de Gispert
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Bill Byrne
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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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An Empirical Study of Building a Strong Baseline for Constituency Parsing
Jun Suzuki
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Sho Takase
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Hidetaka Kamigaito
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Makoto Morishita
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Masaaki Nagata
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Generalized chart constraints for efficient PCFG and TAG parsing
Stefan Grünewald
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Sophie Henning
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Alexander Koller
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Easy-First Dependency Parsing with Hierarchical Tree LSTMs
Eliyahu Kiperwasser
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Yoav Goldberg
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Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies
Tal Linzen
|
Emmanuel Dupoux
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Yoav Goldberg
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Shift-Reduce Constituent Parsing with Neural Lookahead Features
Jiangming Liu
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Yue Zhang
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Head-Lexicalized Bidirectional Tree LSTMs
Zhiyang Teng
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Yue Zhang
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Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing
Tim Vieira
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Jason Eisner
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In-Order Transition-based Constituent Parsing
Jiangming Liu
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Yue Zhang
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Conversation Modeling on Reddit Using a Graph-Structured LSTM
Victoria Zayats
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Mari Ostendorf
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Scheduled Multi-Task Learning: From Syntax to Translation
Eliyahu Kiperwasser
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Miguel Ballesteros
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Neural Lattice Language Models
Jacob Buckman
|
Graham Neubig
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Adaptive Importance Sampling from Finite State Automata
Christoph Teichmann
|
Kasimir Wansing
|
Alexander Koller
|
Towards Neural Machine Translation with Latent Tree Attention
James Bradbury
|
Richard Socher
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Predicting Target Language CCG Supertags Improves Neural Machine Translation
Maria Nădejde
|
Siva Reddy
|
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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Encoder-Decoder Shift-Reduce Syntactic Parsing
Jiangming Liu
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Yue Zhang
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Inducing Grammars with and for Neural Machine Translation
Yonatan Bisk
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Ke Tran
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Learning Hierarchical Structures On-The-Fly with a Recurrent-Recursive Model for Sequences
Athul Paul Jacob
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Zhouhan Lin
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Alessandro Sordoni
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Yoshua Bengio
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Code-Switching Language Modeling using Syntax-Aware Multi-Task Learning
Genta Indra Winata
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Andrea Madotto
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Chien-Sheng Wu
|
Pascale Fung
|
Jabberwocky Parsing: Dependency Parsing with Lexical Noise
Jungo Kasai
|
Robert Frank
|
http://github.com/slavpetrov/
Field Of Study
Linguistic Trends
Embeddings
Syntax
Task
Tagging
Sentiment Analysis
Machine Translation
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