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    » The Tradeoffs of Large Scale Learning
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    ICTAI
    2007
    IEEE
    154views Artificial Intelligence» more  ICTAI 2007»
    Dragon Toolkit: Incorporating Auto-Learned Semantic Knowledge into Large-Scale Text Retrieval and Mining
    14 years 2 months ago
    Dragon Toolkit: Incorporating Auto-Learned Semantic Knowledge into Large-Scale Text Retrieval and Mining
    Download  dragon.ischool.drexel.edu
    The majority of text retrieval and mining techniques are still based on exact feature (e.g. words) matching and unable to incorporate text semantics. Many researchers believe that...
    Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
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    ACL
    2008
    103views Computational Linguistics» more  ACL 2008»
    Large Scale Acquisition of Paraphrases for Learning Surface Patterns
    13 years 9 months ago
    Large Scale Acquisition of Paraphrases for Learning Surface Patterns
    Download  aclweb.org
    Paraphrases have proved to be useful in many applications, including Machine Translation, Question Answering, Summarization, and Information Retrieval. Paraphrase acquisition meth...
    Rahul Bhagat, Deepak Ravichandran
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    IJCAI
    2007
    173views Artificial Intelligence» more  IJCAI 2007»
    Learning "Forgiving" Hash Functions: Algorithms and Large Scale Tests
    13 years 9 months ago
    Learning "Forgiving" Hash Functions: Algorithms and Large Scale Tests
    Download  www.esprockets.com
    Shumeet Baluja, Michele Covell
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    NAACL
    1994
    124views Computational Linguistics» more  NAACL 1994»
    Learning from Relevant Documents in Large Scale Routing Retrieval
    13 years 9 months ago
    Learning from Relevant Documents in Large Scale Routing Retrieval
    Download  acl.ldc.upenn.edu
    The normal practice of selecting relevant documents for training routing queries is to either use all relevants or the 'best n' of them after a (retrieval) ranking opera...
    K. L. Kwok, Laszlo Grunfeld
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    ACL
    2010
    180views Computational Linguistics» more  ACL 2010»
    Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation
    13 years 5 months ago
    Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation
    Download  www.cs.jhu.edu
    We explore how to improve machine translation systems by adding more translation data in situations where we already have substantial resources. The main challenge is how to buck ...
    Michael Bloodgood, Chris Callison-Burch
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