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    EMNLP
    2009
    129views Natural Language Processing» more  EMNLP 2009»
    Multi-Class Confidence Weighted Algorithms
    13 years 5 months ago
    Multi-Class Confidence Weighted Algorithms
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    The recently introduced online confidence-weighted (CW) learning algorithm for binary classification performs well on many binary NLP tasks. However, for multi-class problems CW l...
    Koby Crammer, Mark Dredze, Alex Kulesza
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    EMNLP
    2009
    79views Natural Language Processing» more  EMNLP 2009»
    Reading to Learn: Constructing Features from Semantic Abstracts
    13 years 5 months ago
    Reading to Learn: Constructing Features from Semantic Abstracts
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    Jacob Eisenstein, James Clarke, Dan Goldwasser, Da...
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    EMNLP
    2009
    121views Natural Language Processing» more  EMNLP 2009»
    Re-Ranking Models Based-on Small Training Data for Spoken Language Understanding
    13 years 5 months ago
    Re-Ranking Models Based-on Small Training Data for Spoken Language Understanding
    Download  www.aclweb.org
    The design of practical language applications by means of statistical approaches requires annotated data, which is one of the most critical constraint. This is particularly true f...
    Marco Dinarelli, Alessandro Moschitti, Giuseppe Ri...
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    EMNLP
    2009
    115views Natural Language Processing» more  EMNLP 2009»
    Statistical Estimation of Word Acquisition with Application to Readability Prediction
    13 years 5 months ago
    Statistical Estimation of Word Acquisition with Application to Readability Prediction
    Download  research.microsoft.com
    Models of language learning play a central role in a wide range of applications: from psycholinguistic theories of how people acquire new word knowledge, to information systems th...
    Paul Kidwell, Guy Lebanon, Kevyn Collins-Thompson
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    EMNLP
    2009
    155views Natural Language Processing» more  EMNLP 2009»
    Self-Training PCFG Grammars with Latent Annotations Across Languages
    13 years 5 months ago
    Self-Training PCFG Grammars with Latent Annotations Across Languages
    Download  cgis.cs.umd.edu
    We investigate the effectiveness of selftraining PCFG grammars with latent annotations (PCFG-LA) for parsing languages with different amounts of labeled training data. Compared to...
    Zhongqiang Huang, Mary P. Harper
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    EMNLP
    2009
    94views Natural Language Processing» more  EMNLP 2009»
    A Simple Unsupervised Learner for POS Disambiguation Rules Given Only a Minimal Lexicon
    13 years 5 months ago
    A Simple Unsupervised Learner for POS Disambiguation Rules Given Only a Minimal Lexicon
    Download  www.aclweb.org
    We propose a new model for unsupervised POS tagging based on linguistic distinctions between open and closed-class items. Exploiting notions from current linguistic theory, the sy...
    Qiuye Zhao, Mitch Marcus
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    EMNLP
    2009
    137views Natural Language Processing» more  EMNLP 2009»
    On the Use of Virtual Evidence in Conditional Random Fields
    13 years 5 months ago
    On the Use of Virtual Evidence in Conditional Random Fields
    Download  www.aclweb.org
    Virtual evidence (VE), first introduced by (Pearl, 1988), provides a convenient way of incorporating prior knowledge into Bayesian networks. This work generalizes the use of VE to...
    Xiao Li
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    EMNLP
    2009
    104views Natural Language Processing» more  EMNLP 2009»
    Towards Domain-Independent Argumentative Zoning: Evidence from Chemistry and Computational Linguistics
    13 years 5 months ago
    Towards Domain-Independent Argumentative Zoning: Evidence from Chemistry and Computational Linguistics
    Download  www.aclweb.org
    Simone Teufel, Advaith Siddharthan, Colin R. Batch...
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    EMNLP
    2009
    138views Natural Language Processing» more  EMNLP 2009»
    Bilingual dictionary generation for low-resourced language pairs
    13 years 5 months ago
    Bilingual dictionary generation for low-resourced language pairs
    Download  www.aclweb.org
    Bilingual dictionaries are vital resources in many areas of natural language processing. Numerous methods of machine translation require bilingual dictionaries with large coverage...
    István Varga, Shoichi Yokoyama
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    EMNLP
    2009
    137views Natural Language Processing» more  EMNLP 2009»
    Semi-supervised Semantic Role Labeling Using the Latent Words Language Model
    13 years 5 months ago
    Semi-supervised Semantic Role Labeling Using the Latent Words Language Model
    Download  www.aclweb.org
    Semantic Role Labeling (SRL) has proved to be a valuable tool for performing automatic analysis of natural language texts. Currently however, most systems rely on a large training...
    Koen Deschacht, Marie-Francine Moens
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