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    ACL
    2009
    195views Computational Linguistics» more  ACL 2009»
    Distant supervision for relation extraction without labeled data
    14 years 7 months ago
    Distant supervision for relation extraction without labeled data
    Download  www.stanford.edu
    Modern models of relation extraction for tasks like ACE are based on supervised learning of relations from small hand-labeled corpora. We investigate an alternative paradigm that ...
    Mike Mintz, Steven Bills, Rion Snow, Daniel Jurafs...
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    IGARSS
    2009
    171views Remote Sensing» more  IGARSS 2009»
    Active Learning of Hyperspectral Data with Spatially Dependent Label Acquisition Costs
    14 years 7 months ago
    Active Learning of Hyperspectral Data with Spatially Dependent Label Acquisition Costs
    Download  ideal.ece.utexas.edu
    Supervised learners can be used to automatically classify many types of spatially distributed data. For example, land cover classification by hyperspectral image data analysis is ...
    Alexander Liu, Goo Jun, Joydeep Ghosh
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    EMNLP
    2010
    185views Natural Language Processing» more  EMNLP 2010»
    Cross Language Text Classification by Model Translation and Semi-Supervised Learning
    14 years 7 months ago
    Cross Language Text Classification by Model Translation and Semi-Supervised Learning
    Download  www.aclweb.org
    In this paper, we introduce a method that automatically builds text classifiers in a new language by training on already labeled data in another language. Our method transfers the...
    Lei Shi, Rada Mihalcea, Mingjun Tian
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    KDD
    2008
    ACM
    259views Data Mining» more  KDD 2008»
    Using ghost edges for classification in sparsely labeled networks
    15 years 10 months ago
    Using ghost edges for classification in sparsely labeled networks
    Download  reality.media.mit.edu
    We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
    Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...
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    ACL
    2009
    138views Computational Linguistics» more  ACL 2009»
    Semi-supervised Learning for Automatic Prosodic Event Detection Using Co-training Algorithm
    14 years 7 months ago
    Semi-supervised Learning for Automatic Prosodic Event Detection Using Co-training Algorithm
    Download  www.aclweb.org
    Most of previous approaches to automatic prosodic event detection are based on supervised learning, relying on the availability of a corpus that is annotated with the prosodic lab...
    Je Hun Jeon, Yang Liu
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