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    LREC
    2010
    176views Education» more  LREC 2010»
    There's no Data like More Data? Revisiting the Impact of Data Size on a Classification Task
    13 years 6 months ago
    There's no Data like More Data? Revisiting the Impact of Data Size on a Classification Task
    Download  www.coli.uni-saarland.de
    In the paper we investigate the impact of data size on a Word Sense Disambiguation task (WSD). We question the assumption that the knowledge acquisition bottleneck, which is known...
    Ines Rehbein, Josef Ruppenhofer
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    JMLR
    2012
    220views Programming Languages» more  JMLR 2012»
    Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing
    11 years 7 months ago
    Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing
    Download  jmlr.csail.mit.edu
    Open-text semantic parsers are designed to interpret any statement in natural language by inferring a corresponding meaning representation (MR – a formal representation of its s...
    Antoine Bordes, Xavier Glorot, Jason Weston, Yoshu...
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    NAACL
    2007
    156views Computational Linguistics» more  NAACL 2007»
    Data-Driven Graph Construction for Semi-Supervised Graph-Based Learning in NLP
    13 years 6 months ago
    Data-Driven Graph Construction for Semi-Supervised Graph-Based Learning in NLP
    Download  acl.ldc.upenn.edu
    Graph-based semi-supervised learning has recently emerged as a promising approach to data-sparse learning problems in natural language processing. All graph-based algorithms rely ...
    Andrei Alexandrescu, Katrin Kirchhoff
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    TASLP
    2010
    144views more  TASLP 2010»
    Active Learning With Sampling by Uncertainty and Density for Data Annotations
    12 years 11 months ago
    Active Learning With Sampling by Uncertainty and Density for Data Annotations
    Download  www.nlplab.cn
    To solve the knowledge bottleneck problem, active learning has been widely used for its ability to automatically select the most informative unlabeled examples for human annotation...
    Jingbo Zhu, Huizhen Wang, Benjamin K. Tsou, Matthe...
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    IS
    2011
    230views Artificial Intelligence» more  IS 2011»
    Optimized query routing trees for wireless sensor networks
    12 years 12 months ago
    Optimized query routing trees for wireless sensor networks
    Download  www.cs.ucy.ac.cy
    In order to process continuous queries over Wireless Sensor Networks (WSNs), sensors are typically organized in a Query Routing Tree (denoted as T) that provides each sensor with ...
    Panayiotis Andreou, Demetrios Zeinalipour-Yazti, A...
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