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    ACL
    2001
    151views Computational Linguistics» more  ACL 2001»
    Improvement of a Whole Sentence Maximum Entropy Language Model Using Grammatical Features
    13 years 6 months ago
    Improvement of a Whole Sentence Maximum Entropy Language Model Using Grammatical Features
    Download  acl.ldc.upenn.edu
    In this paper, we propose adding long-term grammatical information in a Whole Sentence Maximun Entropy Language Model (WSME) in order to improve the performance of the model. The ...
    Fredy A. Amaya, José-Miguel Benedí
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    ACL
    2006
    112views Computational Linguistics» more  ACL 2006»
    Trimming CFG Parse Trees for Sentence Compression Using Machine Learning Approaches
    13 years 6 months ago
    Trimming CFG Parse Trees for Sentence Compression Using Machine Learning Approaches
    Download  www-tsujii.is.s.u-tokyo.ac.jp
    Sentence compression is a task of creating a short grammatical sentence by removing extraneous words or phrases from an original sentence while preserving its meaning. Existing me...
    Yuya Unno, Takashi Ninomiya, Yusuke Miyao, Jun-ich...
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    COLING
    2010
    234views Computational Linguistics» more  COLING 2010»
    Unsupervised Discriminative Language Model Training for Machine Translation using Simulated Confusion Sets
    12 years 12 months ago
    Unsupervised Discriminative Language Model Training for Machine Translation using Simulated Confusion Sets
    Download  www.cs.jhu.edu
    An unsupervised discriminative training procedure is proposed for estimating a language model (LM) for machine translation (MT). An English-to-English synchronous context-free gra...
    Zhifei Li, Ziyuan Wang, Sanjeev Khudanpur, Jason E...
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    IJCNLP
    2004
    Springer
    95views Natural Language Processing» more  IJCNLP 2004»
    Using a Smoothing Maximum Entropy Model for Chinese Nominal Entity Tagging
    13 years 10 months ago
    Using a Smoothing Maximum Entropy Model for Chinese Nominal Entity Tagging
    Download  www.cs.brandeis.edu
    This paper treats nominal entity tagging as a six-way (five categories plus nonentity) classification problem and applies a smoothing maximum entropy (ME) model with a Gaussian pr...
    Jinying Chen, Nianwen Xue, Martha Stone Palmer
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    ACL
    2009
    126views Computational Linguistics» more  ACL 2009»
    Discriminative Approach to Predicate-Argument Structure Analysis with Zero-Anaphora Resolution
    13 years 2 months ago
    Discriminative Approach to Predicate-Argument Structure Analysis with Zero-Anaphora Resolution
    Download  www.aclweb.org
    This paper presents a predicate-argument structure analysis that simultaneously conducts zero-anaphora resolution. By adding noun phrases as candidate arguments that are not only ...
    Kenji Imamura, Kuniko Saito, Tomoko Izumi
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