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    ACL
    1996
    101views Computational Linguistics» more  ACL 1996»
    Unsupervised Learning of Word-Category Guessing Rules
    13 years 9 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
    11 years 10 months 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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    LREC
    2010
    164views Education» more  LREC 2010»
    Learning to Mine Definitions from Slovene Structured and Unstructured Knowledge-Rich Resources
    13 years 9 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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    ACL
    2012
    189views Computational Linguistics» more  ACL 2012»
    A Meta Learning Approach to Grammatical Error Correction
    11 years 10 months 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
    15 years 2 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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