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    ACL
    2006
    144views Computational Linguistics» more  ACL 2006»
    A Best-First Probabilistic Shift-Reduce Parser
    14 years 11 months ago
    A Best-First Probabilistic Shift-Reduce Parser
    Download  www.cs.cmu.edu
    Recently proposed deterministic classifierbased parsers (Nivre and Scholz, 2004; Sagae and Lavie, 2005; Yamada and Matsumoto, 2003) offer attractive alternatives to generative sta...
    Kenji Sagae, Alon Lavie
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    ACL
    2006
    200views Computational Linguistics» more  ACL 2006»
    Weakly Supervised Named Entity Transliteration and Discovery from Multilingual Comparable Corpora
    14 years 11 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
    125views Computational Linguistics» more  ACL 2006»
    A Grammatical Approach to Understanding Textual Tables Using Two-Dimensional SCFGs
    14 years 11 months ago
    A Grammatical Approach to Understanding Textual Tables Using Two-Dimensional SCFGs
    Download  acl.ldc.upenn.edu
    We present an elegant and extensible model that is capable of providing semantic interpretations for an unusually wide range of textual tables in documents. Unlike the few existin...
    Dekai Wu, Ken Wing Kuen Lee
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    ACL
    2006
    204views Computational Linguistics» more  ACL 2006»
    Boosting Statistical Word Alignment Using Labeled and Unlabeled Data
    14 years 11 months ago
    Boosting Statistical Word Alignment Using Labeled and Unlabeled Data
    Download  ir.hit.edu.cn
    This paper proposes a semi-supervised boosting approach to improve statistical word alignment with limited labeled data and large amounts of unlabeled data. The proposed approach ...
    Hua Wu, Haifeng Wang, Zhan-yi Liu
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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
    Download  acl.ldc.upenn.edu
    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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