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    EMNLP
    2008
    115views Natural Language Processing» more  EMNLP 2008»
    Joint Unsupervised Coreference Resolution with Markov Logic
    14 years 11 months ago
    Joint Unsupervised Coreference Resolution with Markov Logic
    Download  www.cs.washington.edu
    Machine learning approaches to coreference resolution are typically supervised, and require expensive labeled data. Some unsupervised approaches have been proposed (e.g., Haghighi...
    Hoifung Poon, Pedro Domingos
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    LREC
    2008
    131views Education» more  LREC 2008»
    Learning Morphology with Morfette
    14 years 11 months ago
    Learning Morphology with Morfette
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    Morfette is a modular, data-driven, probabilistic system which learns to perform joint morphological tagging and lemmatization from morphologically annotated corpora. The system i...
    Grzegorz Chrupala, Georgiana Dinu, Josef van Genab...
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    LREC
    2008
    89views Education» more  LREC 2008»
    Sentiment Analysis and the Use of Extrinsic Datasets in Evaluation
    14 years 11 months ago
    Sentiment Analysis and the Use of Extrinsic Datasets in Evaluation
    Download  www.lrec-conf.org
    The field of automated sentiment analysis has emerged in recent years as an exciting challenge to the computational linguistics community. Research in the field investigates how e...
    Ann Devitt, Khurshid Ahmad
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    ACL
    2006
    153views Computational Linguistics» more  ACL 2006»
    Analysis and Repair of Name Tagger Errors
    14 years 11 months ago
    Analysis and Repair of Name Tagger Errors
    Download  acl.ldc.upenn.edu
    Name tagging is a critical early stage in many natural language processing pipelines. In this paper we analyze the types of errors produced by a tagger, distinguishing name classi...
    Heng Ji, Ralph Grishman
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    TAMODIA
    2004
    143views User Interface» more  TAMODIA 2004»
    Applying information visualization techniques to visual representations of task models
    14 years 11 months ago
    Applying information visualization techniques to visual representations of task models
    Download  giove.isti.cnr.it
    This paper shows how information visualization techniques can be used to improve the effectiveness of task model representations. In particular, we discuss how fisheye and semanti...
    Fabio Paternò, Enrico Zini
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