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Distributed Training Strategies for the Structured Perceptron
Ryan McDonald
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Keith Hall
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Gideon Mann
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Paper Details:
Month: June
Year: 2010
Location: Los Angeles, California
Venue:
NAACL |
Citations
URL
User Demographics and Language in an Implicit Social Network
Katja Filippova
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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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HadoopPerceptron: a Toolkit for Distributed Perceptron Training and Prediction with MapReduce
Andrea Gesmundo
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Nadi Tomeh
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Regularized Structured Perceptron: A Case Study on Chinese Word Segmentation, POS Tagging and Parsing
Kaixu Zhang
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Jinsong Su
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Changle Zhou
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Accelerated Estimation of Conditional Random Fields using a Pseudo-Likelihood-inspired Perceptron Variant
Teemu Ruokolainen
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Miikka Silfverberg
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Mikko Kurimo
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Krister Linden
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Optimized Online Rank Learning for Machine Translation
Taro Watanabe
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Minibatch and Parallelization for Online Large Margin Structured Learning
Kai Zhao
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Liang Huang
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Bag-of-Words Forced Decoding for Cross-Lingual Information Retrieval
Felix Hieber
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Stefan Riezler
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Optimal and Syntactically-Informed Decoding for Monolingual Phrase-Based Alignment
Kapil Thadani
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Kathleen McKeown
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Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT
Patrick Simianer
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Stefan Riezler
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Chris Dyer
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Concept-to-text Generation via Discriminative Reranking
Ioannis Konstas
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Mirella Lapata
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Fast and Adaptive Online Training of Feature-Rich Translation Models
Spence Green
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Sida Wang
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Daniel Cer
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Christopher D. Manning
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Online Relative Margin Maximization for Statistical Machine Translation
Vladimir Eidelman
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Yuval Marton
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Philip Resnik
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Paraphrase-Driven Learning for Open Question Answering
Anthony Fader
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Luke Zettlemoyer
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Oren Etzioni
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The Effect of Higher-Order Dependency Features in Discriminative Phrase-Structure Parsing
Greg Coppola
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Mark Steedman
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Training a Natural Language Generator From Unaligned Data
Ondřej Dušek
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Filip Jurčíček
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RoBox: CCG with Structured Perceptron for Supervised Semantic Parsing of Robotic Spatial Commands
Kilian Evang
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Johan Bos
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SampleRank Training for Phrase-Based Machine Translation
Barry Haddow
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Abhishek Arun
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Philipp Koehn
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Large-scale discriminative language model reranking for voice-search
Preethi Jyothi
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Leif Johnson
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Ciprian Chelba
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Brian Strope
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Optimization Strategies for Online Large-Margin Learning in Machine Translation
Vladimir Eidelman
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Multi-Task Learning for Improved Discriminative Training in SMT
Patrick Simianer
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Stefan Riezler
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Referential Translation Machines for Quality Estimation
Ergun Biçici
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Referential Translation Machines for Predicting Translation Quality
Ergun Biçici
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Andy Way
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Referential Translation Machines for Predicting Translation Quality and Related Statistics
Ergun Biçici
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Qun Liu
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Andy Way
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Finding The Best Model Among Representative Compositional Models
Masayasu Muraoka
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Sonse Shimaoka
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Kazeto Yamamoto
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Yotaro Watanabe
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Naoaki Okazaki
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Kentaro Inui
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No URLs Found
Field Of Study
Task
Named Entity Recognition
Approach
Structured Prediction
Language
Multilingual
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