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    ACL
    2009
    104views Computational Linguistics» more  ACL 2009»
    Capturing Salience with a Trainable Cache Model for Zero-anaphora Resolution
    14 years 8 months ago
    Capturing Salience with a Trainable Cache Model for Zero-anaphora Resolution
    Download  www.cl.cs.titech.ac.jp
    This paper explores how to apply the notion of caching introduced by Walker (1996) to the task of zero-anaphora resolution. We propose a machine learning-based implementation of a...
    Ryu Iida, Kentaro Inui, Yuji Matsumoto
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    ACL
    2009
    112views Computational Linguistics» more  ACL 2009»
    Minimized Models for Unsupervised Part-of-Speech Tagging
    14 years 8 months ago
    Minimized Models for Unsupervised Part-of-Speech Tagging
    Download  www.isi.edu
    We describe a novel method for the task of unsupervised POS tagging with a dictionary, one that uses integer programming to explicitly search for the smallest model that explains ...
    Sujith Ravi, Kevin Knight
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    ACL
    2009
    91views Computational Linguistics» more  ACL 2009»
    A Syntactic and Lexical-Based Discourse Segmenter
    14 years 8 months ago
    A Syntactic and Lexical-Based Discourse Segmenter
    Download  www.sfu.ca
    We present a syntactic and lexically based discourse segmenter (SLSeg) that is designed to avoid the common problem of over-segmenting text. Segmentation is the first step in a di...
    Milan Tofiloski, Julian Brooke, Maite Taboada
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    ACL
    2009
    102views Computational Linguistics» more  ACL 2009»
    The Lie Detector: Explorations in the Automatic Recognition of Deceptive Language
    14 years 8 months ago
    The Lie Detector: Explorations in the Automatic Recognition of Deceptive Language
    Download  www.aclweb.org
    In this paper, we present initial experiments in the recognition of deceptive language. We introduce three data sets of true and lying texts collected for this purpose, and we sho...
    Rada Mihalcea, Carlo Strapparava
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    ACL
    2009
    107views Computational Linguistics» more  ACL 2009»
    Variational Inference for Grammar Induction with Prior Knowledge
    14 years 8 months ago
    Variational Inference for Grammar Induction with Prior Knowledge
    Download  www.aclweb.org
    Variational EM has become a popular technique in probabilistic NLP with hidden variables. Commonly, for computational tractability, we make strong independence assumptions, such a...
    Shay B. Cohen, Noah A. Smith
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