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    ACL
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    103views Computational Linguistics» more  ACL 2006»
    Reranking and Self-Training for Parser Adaptation
    14 years 11 months ago
    Reranking and Self-Training for Parser Adaptation
    Download  cs.brown.edu
    Statistical parsers trained and tested on the Penn Wall Street Journal (WSJ) treebank have shown vast improvements over the last 10 years. Much of this improvement, however, is ba...
    David McClosky, Eugene Charniak, Mark Johnson
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    ACL
    2006
    111views Computational Linguistics» more  ACL 2006»
    Dependency Parsing of Japanese Spoken Monologue Based on Clause Boundaries
    14 years 11 months ago
    Dependency Parsing of Japanese Spoken Monologue Based on Clause Boundaries
    Download  acl.ldc.upenn.edu
    Spoken monologues feature greater sentence length and structural complexity than do spoken dialogues. To achieve high parsing performance for spoken monologues, it could prove eff...
    Tomohiro Ohno, Shigeki Matsubara, Hideki Kashioka,...
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    ACL
    2006
    116views Computational Linguistics» more  ACL 2006»
    Modeling Human Sentence Processing Data with a Statistical Parts-of-Speech Tagger
    14 years 11 months ago
    Modeling Human Sentence Processing Data with a Statistical Parts-of-Speech Tagger
    Download  acl.ldc.upenn.edu
    It has previously been assumed in the psycholinguistic literature that finite-state models of language are crucially limited in their explanatory power by the locality of the prob...
    Jihyun Park
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    ACL
    2006
    92views Computational Linguistics» more  ACL 2006»
    A Finite-State Model of Human Sentence Processing
    14 years 11 months ago
    A Finite-State Model of Human Sentence Processing
    Download  acl.ldc.upenn.edu
    It has previously been assumed in the psycholinguistic literature that finite-state models of language are crucially limited in their explanatory power by the locality of the prob...
    Jihyun Park, Chris Brew
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    88
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    ACL
    2006
    91views Computational Linguistics» more  ACL 2006»
    Using Machine Learning to Explore Human Multimodal Clarification Strategies
    14 years 11 months ago
    Using Machine Learning to Explore Human Multimodal Clarification Strategies
    Download  homepages.inf.ed.ac.uk
    We investigate the use of machine learning in combination with feature engineering techniques to explore human multimodal clarification strategies and the use of those strategies ...
    Verena Rieser, Oliver Lemon
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