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    EMNLP
    2008
    139views Natural Language Processing» more  EMNLP 2008»
    Revealing the Structure of Medical Dictations with Conditional Random Fields
    13 years 10 months ago
    Revealing the Structure of Medical Dictations with Conditional Random Fields
    Download  www.aclweb.org
    Automatic processing of medical dictations poses a significant challenge. We approach the problem by introducing a statistical framework capable of identifying types and boundarie...
    Jeremy Jancsary, Johannes Matiasek, Harald Trost
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    NIPS
    2008
    232views Information Technology» more  NIPS 2008»
    Sparse Signal Recovery Using Markov Random Fields
    13 years 10 months ago
    Sparse Signal Recovery Using Markov Random Fields
    Download  www.ece.rice.edu
    Compressive Sensing (CS) combines sampling and compression into a single subNyquist linear measurement process for sparse and compressible signals. In this paper, we extend the th...
    Volkan Cevher, Marco F. Duarte, Chinmay Hegde, Ric...
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    ACL
    2004
    138views Computational Linguistics» more  ACL 2004»
    Using Conditional Random Fields to Predict Pitch Accents in Conversational Speech
    13 years 10 months ago
    Using Conditional Random Fields to Predict Pitch Accents in Conversational Speech
    Download  acl.ldc.upenn.edu
    The detection of prosodic characteristics is an important aspect of both speech synthesis and speech recognition. Correct placement of pitch accents aids in more natural sounding ...
    Michelle L. Gregory, Yasemin Altun
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    ACL
    2006
    226views Computational Linguistics» more  ACL 2006»
    Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling
    13 years 10 months ago
    Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling
    Download  www.metabolomics.ca
    We present a new semi-supervised training procedure for conditional random fields (CRFs) that can be used to train sequence segmentors and labelers from a combination of labeled a...
    Feng Jiao, Shaojun Wang, Chi-Hoon Lee, Russell Gre...
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    ACL
    2006
    126views Computational Linguistics» more  ACL 2006»
    Training Conditional Random Fields with Multivariate Evaluation Measures
    13 years 10 months ago
    Training Conditional Random Fields with Multivariate Evaluation Measures
    Download  acl.ldc.upenn.edu
    This paper proposes a framework for training Conditional Random Fields (CRFs) to optimize multivariate evaluation measures, including non-linear measures such as F-score. Our prop...
    Jun Suzuki, Erik McDermott, Hideki Isozaki
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