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    ACL
    1996
    101views Computational Linguistics» more  ACL 1996»
    Unsupervised Learning of Word-Category Guessing Rules
    14 years 11 months ago
    Unsupervised Learning of Word-Category Guessing Rules
    Download  www.aclweb.org
    Words unknown to the lexicon present a substantial problem to part-of-speech tagging. In this paper we present a technique for fully unsupervised statistical acquisition of rules ...
    Andrei Mikheev
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    ACL
    2012
    196views Computational Linguistics» more  ACL 2012»
    Learning to Find Translations and Transliterations on the Web
    13 years 2 days ago
    Learning to Find Translations and Transliterations on the Web
    Download  aclweb.org
    In this paper, we present a new method for learning to finding translations and transliterations on the Web for a given term. The approach involves using a small set of terms and ...
    Joseph Z. Chang, Jason S. Chang, Jyh-Shing Roger J...
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    63
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    LREC
    2010
    164views Education» more  LREC 2010»
    Learning to Mine Definitions from Slovene Structured and Unstructured Knowledge-Rich Resources
    14 years 11 months ago
    Learning to Mine Definitions from Slovene Structured and Unstructured Knowledge-Rich Resources
    Download  www.lrec-conf.org
    The paper presents an innovative approach to extract Slovene definition candidates from domain-specific corpora using morphosyntactic patterns, automatic terminology recognition a...
    Darja Fiser, Senja Pollak, Spela Vintar
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    87
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    ACL
    2012
    189views Computational Linguistics» more  ACL 2012»
    A Meta Learning Approach to Grammatical Error Correction
    13 years 2 days ago
    A Meta Learning Approach to Grammatical Error Correction
    Download  aclweb.org
    We introduce a novel method for grammatical error correction with a number of small corpora. To make the best use of several corpora with different characteristics, we employ a me...
    Hongsuck Seo, Jonghoon Lee, Seokhwan Kim, Kyusong ...
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    CVPR
    2009
    IEEE
    460views Computer Vision» more  CVPR 2009»
    Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework
    16 years 5 months ago
    Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework
    Download  vision.cs.princeton.edu
    Given an image, we propose a hierarchical generative model that classifies the overall scene, recognizes and segments each object component, as well as annotates the image with ...
    Fei-Fei Li 0002, Li-Jia Li, Richard Socher
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