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    EMNLP
    2009
    107views Natural Language Processing» more  EMNLP 2009»
    Learning Linear Ordering Problems for Better Translation
    13 years 9 months ago
    Learning Linear Ordering Problems for Better Translation
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    Roy W. Tromble, Jason Eisner
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    EMNLP
    2009
    85views Natural Language Processing» more  EMNLP 2009»
    Multi-Word Expression Identification Using Sentence Surface Features
    13 years 9 months ago
    Multi-Word Expression Identification Using Sentence Surface Features
    Download  www.cs.huji.ac.il
    Much NLP research on Multi-Word Expressions (MWEs) focuses on the discovery of new expressions, as opposed to the identification in texts of known expressions. However, MWE identi...
    Ram Boukobza, Ari Rappoport
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    EMNLP
    2009
    177views Natural Language Processing» more  EMNLP 2009»
    Sinuhe - Statistical Machine Translation using a Globally Trained Conditional Exponential Family Translation Model
    13 years 9 months ago
    Sinuhe - Statistical Machine Translation using a Globally Trained Conditional Exponential Family Translation Model
    Download  www.aclweb.org
    We present a new phrase-based conditional exponential family translation model for statistical machine translation. The model operates on a feature representation in which sentenc...
    Matti Kääriäinen
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    EMNLP
    2009
    102views Natural Language Processing» more  EMNLP 2009»
    Language Models Based on Semantic Composition
    13 years 9 months ago
    Language Models Based on Semantic Composition
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    In this paper we propose a novel statistical language model to capture long-range semantic dependencies. Specifically, we apply the concept of semantic composition to the problem ...
    Jeff Mitchell, Mirella Lapata
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    EMNLP
    2009
    130views Natural Language Processing» more  EMNLP 2009»
    Supervised Learning of a Probabilistic Lexicon of Verb Semantic Classes
    13 years 9 months ago
    Supervised Learning of a Probabilistic Lexicon of Verb Semantic Classes
    Download  www.aclweb.org
    The work presented in this paper explores a supervised method for learning a probabilistic model of a lexicon of VerbNet classes. We intend for the probabilistic model to provide ...
    Yusuke Miyao, Jun-ichi Tsujii
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    EMNLP
    2009
    118views Natural Language Processing» more  EMNLP 2009»
    Discriminative Substring Decoding for Transliteration
    13 years 9 months ago
    Discriminative Substring Decoding for Transliteration
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    We present a discriminative substring decoder for transliteration. This decoder extends recent approaches for discriminative character transduction by allowing for a list of known...
    Colin Cherry, Hisami Suzuki
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    EMNLP
    2009
    124views Natural Language Processing» more  EMNLP 2009»
    On the Role of Lexical Features in Sequence Labeling
    13 years 9 months ago
    On the Role of Lexical Features in Sequence Labeling
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    We use the technique of SVM anchoring to demonstrate that lexical features extracted from a training corpus are not necessary to obtain state of the art results on tasks such as N...
    Yoav Goldberg, Michael Elhadad
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    EMNLP
    2009
    75views Natural Language Processing» more  EMNLP 2009»
    Global Learning of Noun Phrase Anaphoricity in Coreference Resolution via Label Propagation
    13 years 9 months ago
    Global Learning of Noun Phrase Anaphoricity in Coreference Resolution via Label Propagation
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    Guodong Zhou, Fang Kong
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    EMNLP
    2009
    136views Natural Language Processing» more  EMNLP 2009»
    Active Learning by Labeling Features
    13 years 9 months ago
    Active Learning by Labeling Features
    Download  www.cs.umass.edu
    Methods that learn from prior information about input features such as generalized expectation (GE) have been used to train accurate models with very little effort. In this paper,...
    Gregory Druck, Burr Settles, Andrew McCallum
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    EMNLP
    2009
    130views Natural Language Processing» more  EMNLP 2009»
    Graph Alignment for Semi-Supervised Semantic Role Labeling
    13 years 9 months ago
    Graph Alignment for Semi-Supervised Semantic Role Labeling
    Download  www.aclweb.org
    Unknown lexical items present a major obstacle to the development of broadcoverage semantic role labeling systems. We address this problem with a semisupervised learning approach ...
    Hagen Fürstenau, Mirella Lapata
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