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    » Distributional Clustering of English Words
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    ACL
    1993
    96views Computational Linguistics» more  ACL 1993»
    Distributional Clustering of English Words
    13 years 6 months ago
    Distributional Clustering of English Words
    Download  acl.ldc.upenn.edu
    We describe and evaluate experimentally a method for clustering words according to their distribution in particular syntactic contexts. Words are represented by the relative frequ...
    Fernando C. N. Pereira, Naftali Tishby, Lillian Le...
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    LREC
    2010
    155views Education» more  LREC 2010»
    A Named Entity Labeler for German: Exploiting Wikipedia and Distributional Clusters
    13 years 6 months ago
    A Named Entity Labeler for German: Exploiting Wikipedia and Distributional Clusters
    Download  www.lsv.uni-saarland.de
    Named Entity Recognition is a relatively well-understood NLP task, with many publicly available training resources and software for English. Other languages tend to be underserved...
    Grzegorz Chrupala, Dietrich Klakow
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    EMNLP
    2007
    129views Natural Language Processing» more  EMNLP 2007»
    Unsupervised Part-of-Speech Acquisition for Resource-Scarce Languages
    13 years 6 months ago
    Unsupervised Part-of-Speech Acquisition for Resource-Scarce Languages
    Download  www.utdallas.edu
    This paper proposes a new bootstrapping approach to unsupervised part-of-speech induction. In comparison to previous bootstrapping algorithms developed for this problem, our appro...
    Sajib Dasgupta, Vincent Ng
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    COLING
    2002
    112views Computational Linguistics» more  COLING 2002»
    A Quantitative Model of Word Order and Movement in English, Dutch and German Complement Constructions
    13 years 4 months ago
    A Quantitative Model of Word Order and Movement in English, Dutch and German Complement Constructions
    Download  www.uni-koblenz-landau.de
    We present a quantitative model of word order and movement constraints that enables a simple and uniform treatment of a seemingly heterogeneous collection of linear order phenomena...
    Karin Harbusch, Gerard Kempen
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    ACL
    2010
    150views Computational Linguistics» more  ACL 2010»
    Improved Unsupervised POS Induction through Prototype Discovery
    13 years 2 months ago
    Improved Unsupervised POS Induction through Prototype Discovery
    Download  www.cs.huji.ac.il
    We present a novel fully unsupervised algorithm for POS induction from plain text, motivated by the cognitive notion of prototypes. The algorithm first identifies landmark cluster...
    Omri Abend, Roi Reichart, Ari Rappoport
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