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    2006
    92views Computational Linguistics» more  ACL 2006»
    A Phonetic-Based Approach to Chinese Chat Text Normalization
    14 years 11 months ago
    A Phonetic-Based Approach to Chinese Chat Text Normalization
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    Chatting is a popular communication media on the Internet via ICQ, chat rooms, etc. Chat language is different from natural language due to its anomalous and dynamic natures, whic...
    Yunqing Xia, Kam-Fai Wong, Wenjie Li
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    ACL
    2006
    128views Computational Linguistics» more  ACL 2006»
    Aligning Features with Sense Distinction Dimensions
    14 years 11 months ago
    Aligning Features with Sense Distinction Dimensions
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    In this paper we present word sense disambiguation (WSD) experiments on ten highly polysemous verbs in Chinese, where significant performance improvements are achieved using rich ...
    Nianwen Xue, Jinying Chen, Martha Palmer
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    ACL
    2006
    105views Computational Linguistics» more  ACL 2006»
    A Progressive Feature Selection Algorithm for Ultra Large Feature Spaces
    14 years 11 months ago
    A Progressive Feature Selection Algorithm for Ultra Large Feature Spaces
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    Recent developments in statistical modeling of various linguistic phenomena have shown that additional features give consistent performance improvements. Quite often, improvements...
    Qi Zhang, Fuliang Weng, Zhe Feng
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    ACL
    2006
    107views Computational Linguistics» more  ACL 2006»
    BiTAM: Bilingual Topic AdMixture Models for Word Alignment
    14 years 11 months ago
    BiTAM: Bilingual Topic AdMixture Models for Word Alignment
    Download  www.sailing.cs.cmu.edu
    We propose a novel bilingual topical admixture (BiTAM) formalism for word alignment in statistical machine translation. Under this formalism, the parallel sentence-pairs within a ...
    Bing Zhao, Eric P. Xing
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    ACL
    2006
    184views Computational Linguistics» more  ACL 2006»
    Modeling Commonality among Related Classes in Relation Extraction
    14 years 11 months ago
    Modeling Commonality among Related Classes in Relation Extraction
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    This paper proposes a novel hierarchical learning strategy to deal with the data sparseness problem in relation extraction by modeling the commonality among related classes. For e...
    Guodong Zhou, Jian Su, Min Zhang
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