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    NAACL
    2010
    137views Computational Linguistics» more  NAACL 2010»
    Joint Parsing and Alignment with Weakly Synchronized Grammars
    13 years 9 months ago
    Joint Parsing and Alignment with Weakly Synchronized Grammars
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    Syntactic machine translation systems extract rules from bilingual, word-aligned, syntactically parsed text, but current systems for parsing and word alignment are at best cascade...
    David Burkett, John Blitzer, Dan Klein
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    NAACL
    2010
    152views Computational Linguistics» more  NAACL 2010»
    Generalizing Syntactic Structures for Product Attribute Candidate Extraction
    13 years 9 months ago
    Generalizing Syntactic Structures for Product Attribute Candidate Extraction
    Download  www.aclweb.org
    Noun phrases (NP) in a product review are always considered as the product attribute candidates in previous work. However, this method limits the recall of the product attribute e...
    Yanyan Zhao, Bing Qin, Shen Hu, Ting Liu
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    NAACL
    2010
    142views Computational Linguistics» more  NAACL 2010»
    Integrating Joint n-gram Features into a Discriminative Training Framework
    13 years 9 months ago
    Integrating Joint n-gram Features into a Discriminative Training Framework
    Download  aclweb.org
    Phonetic string transduction problems, such as letter-to-phoneme conversion and name transliteration, have recently received much attention in the NLP community. In the past few y...
    Sittichai Jiampojamarn, Colin Cherry, Grzegorz Kon...
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    NAACL
    2010
    179views Computational Linguistics» more  NAACL 2010»
    Clinical Information Retrieval using Document and PICO Structure
    13 years 9 months ago
    Clinical Information Retrieval using Document and PICO Structure
    Download  www.aclweb.org
    In evidence-based medicine, clinical questions involve four aspects: Patient/Problem (P), Intervention (I), Comparison (C) and Outcome (O), known as PICO elements. In this paper w...
    Florian Boudin, Jian-Yun Nie, Martin Dawes
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    NAACL
    2010
    130views Computational Linguistics» more  NAACL 2010»
    Cross-lingual Induction of Selectional Preferences with Bilingual Vector Spaces
    13 years 9 months ago
    Cross-lingual Induction of Selectional Preferences with Bilingual Vector Spaces
    Download  www.nlpado.de
    We describe a cross-lingual method for the induction of selectional preferences for resourcepoor languages, where no accurate monolingual models are available. The method uses bil...
    Yves Peirsman, Sebastian Padó
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    NAACL
    2010
    160views Computational Linguistics» more  NAACL 2010»
    Arabic Mention Detection: Toward Better Unit of Analysis
    13 years 9 months ago
    Arabic Mention Detection: Toward Better Unit of Analysis
    Download  www.aclweb.org
    We investigate in this paper the adequate unit of analysis for Arabic Mention Detection. We experiment different segmentation schemes with various feature-sets. Results show that ...
    Yassine Benajiba, Imed Zitouni
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    NAACL
    2010
    143views Computational Linguistics» more  NAACL 2010»
    Expected Sequence Similarity Maximization
    13 years 9 months ago
    Expected Sequence Similarity Maximization
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    Cyril Allauzen, Shankar Kumar, Wolfgang Macherey, ...
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    NAACL
    2010
    177views Computational Linguistics» more  NAACL 2010»
    Improved Models of Distortion Cost for Statistical Machine Translation
    13 years 9 months ago
    Improved Models of Distortion Cost for Statistical Machine Translation
    Download  www-nlp.stanford.edu
    The distortion cost function used in Mosesstyle machine translation systems has two flaws. First, it does not estimate the future cost of known required moves, thus increasing sea...
    Spence Green, Michel Galley, Christopher D. Mannin...
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    NAACL
    2010
    124views Computational Linguistics» more  NAACL 2010»
    Reformulating Discourse Connectives for Non-Expert Readers
    13 years 9 months ago
    Reformulating Discourse Connectives for Non-Expert Readers
    Download  www.csd.abdn.ac.uk
    In this paper we report a behavioural experiment documenting that different lexicosyntactic formulations of the discourse relation of causation are deemed more or less acceptable ...
    Advaith Siddharthan, Napoleon Katsos
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    NAACL
    2010
    142views Computational Linguistics» more  NAACL 2010»
    Using Gaussian Mixture Models to Detect Figurative Language in Context
    13 years 9 months ago
    Using Gaussian Mixture Models to Detect Figurative Language in Context
    Download  www.coli.uni-saarland.de
    We present a Gaussian Mixture model for detecting different types of figurative language in context. We show that this model performs well when the parameters are estimated in an ...
    Linlin Li, Caroline Sporleder
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