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Ensemble Models for Dependency Parsing: Cheap and Good?
Mihai Surdeanu
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Christopher D. Manning
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Paper Details:
Month: June
Year: 2010
Location: Los Angeles, California
Venue:
NAACL |
Citations
URL
Local and Global Context for Supervised and Unsupervised Metonymy Resolution
Vivi Nastase
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Alex Judea
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Katja Markert
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Michael Strube
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An Empirical Investigation of Statistical Significance in NLP
Taylor Berg-Kirkpatrick
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David Burkett
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Dan Klein
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Combining PCFG-LA Models with Dual Decomposition: A Case Study with Function Labels and Binarization
Joseph Le Roux
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Antoine Rozenknop
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Jennifer Foster
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Breaking Out of Local Optima with Count Transforms and Model Recombination: A Study in Grammar Induction
Valentin I. Spitkovsky
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Hiyan Alshawi
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Daniel Jurafsky
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Effective Measures of Domain Similarity for Parsing
Barbara Plank
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Gertjan van Noord
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Temporal Restricted Boltzmann Machines for Dependency Parsing
Nikhil Garg
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James Henderson
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An Ensemble Model that Combines Syntactic and Semantic Clustering for Discriminative Dependency Parsing
Gholamreza Haffari
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Marzieh Razavi
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Anoop Sarkar
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Big Data versus the Crowd: Looking for Relationships in All the Right Places
Ce Zhang
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Feng Niu
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Christopher Ré
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Jude Shavlik
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A Comparison of Chinese Parsers for Stanford Dependencies
Wanxiang Che
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Valentin Spitkovsky
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Ting Liu
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Joint Inference for Heterogeneous Dependency Parsing
Guangyou Zhou
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Jun Zhao
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Stacking for Statistical Machine Translation
Majid Razmara
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Anoop Sarkar
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Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing
Zhenghua Li
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Min Zhang
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Wenliang Chen
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On WordNet Semantic Classes and Dependency Parsing
Kepa Bengoetxea
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Eneko Agirre
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Joakim Nivre
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Yue Zhang
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Koldo Gojenola
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Data-driven, PCFG-based and Pseudo-PCFG-based Models for Chinese Dependency Parsing
Weiwei Sun
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Xiaojun Wan
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Peking: Profiling Syntactic Tree Parsing Techniques for Semantic Graph Parsing
Yantao Du
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Fan Zhang
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Weiwei Sun
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Xiaojun Wan
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Model Combination for Event Extraction in BioNLP 2011
Sebastian Riedel
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David McClosky
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Mihai Surdeanu
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Andrew McCallum
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Christopher D. Manning
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Hybrid Combination of Constituency and Dependency Trees into an Ensemble Dependency Parser
Nathan Green
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Zdeněk Žabokrtský
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Combining Rule-Based and Statistical Syntactic Analyzers
Iakes Goenaga
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Koldobika Gojenola
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María Jesús Aranzabe
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Arantza Díaz de Ilarraza
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Kepa Bengoetxea
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Using an SVM Ensemble System for Improved Tamil Dependency Parsing
Nathan Green
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Loganathan Ramasamy
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Zdeněk Žabokrtský
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Improvements to Syntax-based Machine Translation using Ensemble Dependency Parsers
Nathan Green
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Zdeněk Žabokrtský
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Sentence diagrams: their evaluation and combination
Jirka Hana
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Barbora Hladká
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Ivana Lukšová
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Joint Ensemble Model for POS Tagging and Dependency Parsing
Iliana Simova
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Dimitar Vasilev
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Alexander Popov
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Kiril Simov
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Petya Osenova
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Field Of Study
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English
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