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    EMNLP
    2009
    125views Natural Language Processing» more  EMNLP 2009»
    Human-competitive tagging using automatic keyphrase extraction
    14 years 9 months ago
    Human-competitive tagging using automatic keyphrase extraction
    Download  www.cs.waikato.ac.nz
    This paper connects two research areas: automatic tagging on the web and statistical keyphrase extraction. First, we analyze the quality of tags in a collaboratively created folks...
    Olena Medelyan, Eibe Frank, Ian H. Witten
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    EMNLP
    2009
    130views Natural Language Processing» more  EMNLP 2009»
    Clustering to Find Exemplar Terms for Keyphrase Extraction
    14 years 9 months ago
    Clustering to Find Exemplar Terms for Keyphrase Extraction
    Download  nlp.csai.tsinghua.edu.cn
    Keyphrases are widely used as a brief summary of documents. Since manual assignment is time-consuming, various unsupervised ranking methods based on importance scores are proposed...
    Zhiyuan Liu, Peng Li, Yabin Zheng, Maosong Sun
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    FINTAL
    2006
    108views Natural Language Processing» more  FINTAL 2006»
    Selection Strategies for Multi-label Text Categorization
    15 years 2 months ago
    Selection Strategies for Multi-label Text Categorization
    Download  wwwdi.ujaen.es
    In multi-label text categorization, determining the final set of classes that will label a given document is not trivial. It implies first to determine whether a class is suitable ...
    Arturo Montejo Ráez, Luis Alfonso Ure&ntild...
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    KONVENS
    2000
    141views Natural Language Processing» more  KONVENS 2000»
    Scaling up. Using the WWW to Resolve PP Attachment Ambiguities
    15 years 2 months ago
    Scaling up. Using the WWW to Resolve PP Attachment Ambiguities
    Download  www.ling.su.se
    We have developed a method to resolve ambiguities in prepositional phrase (PP) attachment in German. We measure on the one hand the cooccurrence strength between nouns (N) and pre...
    Martin Volk
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    EMNLP
    2010
    112views Natural Language Processing» more  EMNLP 2010»
    Latent-Descriptor Clustering for Unsupervised POS Induction
    14 years 9 months ago
    Latent-Descriptor Clustering for Unsupervised POS Induction
    Download  aclweb.org
    We present a novel approach to distributionalonly, fully unsupervised, POS tagging, based on an adaptation of the EM algorithm for the estimation of a Gaussian mixture. In this ap...
    Michael Lamar, Yariv Maron, Elie Bienenstock
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