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    EMNLP
    2008
    110views Natural Language Processing» more  EMNLP 2008»
    Automatic Inference of the Temporal Location of Situations in Chinese Text
    13 years 10 months ago
    Automatic Inference of the Temporal Location of Situations in Chinese Text
    Download  pages.cs.brandeis.edu
    Chinese is a language that does not have morphological tense markers that provide explicit grammaticalization of the temporal location of situations (events or states). However, i...
    Nianwen Xue
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    ICML
    2000
    IEEE
    172views Machine Learning» more  ICML 2000»
    On-line Learning for Humanoid Robot Systems
    14 years 9 months ago
    On-line Learning for Humanoid Robot Systems
    Download  www-clmc.usc.edu
    Humanoid robots are high-dimensional movement systems for which analytical system identification and control methods are insufficient due to unknown nonlinearities in the system s...
    Gaurav Tevatia, Jörg Conradt, Sethu Vijayakum...
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    ACL
    2006
    200views Computational Linguistics» more  ACL 2006»
    Weakly Supervised Named Entity Transliteration and Discovery from Multilingual Comparable Corpora
    13 years 10 months ago
    Weakly Supervised Named Entity Transliteration and Discovery from Multilingual Comparable Corpora
    Download  l2r.cs.uiuc.edu
    Named Entity recognition (NER) is an important part of many natural language processing tasks. Current approaches often employ machine learning techniques and require supervised d...
    Alexandre Klementiev, Dan Roth
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    ACL
    2006
    113views Computational Linguistics» more  ACL 2006»
    A Hybrid Relational Approach for WSD - First Results
    13 years 10 months ago
    A Hybrid Relational Approach for WSD - First Results
    Download  acl.ldc.upenn.edu
    We present a novel hybrid approach for Word Sense Disambiguation (WSD) which makes use of a relational formalism to represent instances and background knowledge. It is built using...
    Lucia Specia
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    ICML
    2008
    IEEE
    173views Machine Learning» more  ICML 2008»
    Adaptive p-posterior mixture-model kernels for multiple instance learning
    14 years 9 months ago
    Adaptive p-posterior mixture-model kernels for multiple instance learning
    Download  www.cs.ust.hk
    In multiple instance learning (MIL), how the instances determine the bag-labels is an essential issue, both algorithmically and intrinsically. In this paper, we show that the mech...
    Hua-Yan Wang, Qiang Yang, Hongbin Zha
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