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    ACL
    2011
    260views Computational Linguistics» more  ACL 2011»
    A Bayesian Model for Unsupervised Semantic Parsing
    13 years 1 months ago
    A Bayesian Model for Unsupervised Semantic Parsing
    Download  people.mmci.uni-saarland.de
    We propose a non-parametric Bayesian model for unsupervised semantic parsing. Following Poon and Domingos (2009), we consider a semantic parsing setting where the goal is to (1) d...
    Ivan Titov, Alexandre Klementiev
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    ACL
    2011
    206views Computational Linguistics» more  ACL 2011»
    Neutralizing Linguistically Problematic Annotations in Unsupervised Dependency Parsing Evaluation
    13 years 1 months ago
    Neutralizing Linguistically Problematic Annotations in Unsupervised Dependency Parsing Evaluation
    Download  www.cs.huji.ac.il
    Dependency parsing is a central NLP task. In this paper we show that the common evaluation for unsupervised dependency parsing is highly sensitive to problematic annotations. We s...
    Roy Schwartz, Omri Abend, Roi Reichart, Ari Rappop...
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    EACL
    2009
    ACL Anthology
    105views Natural Language Processing» more  EACL 2009»
    EM Works for Pronoun Anaphora Resolution
    14 years 10 months ago
    EM Works for Pronoun Anaphora Resolution
    Download  bllip.cs.brown.edu
    We present an algorithm for pronounanaphora (in English) that uses Expectation Maximization (EM) to learn virtually all of its parameters in an unsupervised fashion. While EM freq...
    Eugene Charniak, Micha Elsner
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    ACL
    2009
    149views Computational Linguistics» more  ACL 2009»
    Genre distinctions for discourse in the Penn TreeBank
    13 years 7 months ago
    Genre distinctions for discourse in the Penn TreeBank
    Download  www.aclweb.org
    Articles in the Penn TreeBank were identified as being reviews, summaries, letters to the editor, news reportage, corrections, wit and short verse, or quarterly profit reports. Al...
    Bonnie L. Webber
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    ACL
    2009
    134views Computational Linguistics» more  ACL 2009»
    Quadratic-Time Dependency Parsing for Machine Translation
    13 years 7 months ago
    Quadratic-Time Dependency Parsing for Machine Translation
    Download  nlp.stanford.edu
    Efficiency is a prime concern in syntactic MT decoding, yet significant developments in statistical parsing with respect to asymptotic efficiency haven't yet been explored in...
    Michel Galley, Christopher D. Manning
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