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    COLING
    2008
    130views Computational Linguistics» more  COLING 2008»
    Comparative Evaluation of Arabic Language Morphological Analysers and Stemmers
    13 years 9 months ago
    Comparative Evaluation of Arabic Language Morphological Analysers and Stemmers
    Download  www.comp.leeds.ac.uk
    Majdi Sawalha, Eric Atwell
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    COLING
    2008
    143views Computational Linguistics» more  COLING 2008»
    Towards Incremental End-of-Utterance Detection in Dialogue Systems
    13 years 9 months ago
    Towards Incremental End-of-Utterance Detection in Dialogue Systems
    Download  www.aclweb.org
    We define the task of incremental or 0lag utterance segmentation, that is, the task of segmenting an ongoing speech recognition stream into utterance units, and present first resu...
    Michaela Atterer, Timo Baumann, David Schlangen
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    COLING
    2008
    145views Computational Linguistics» more  COLING 2008»
    Phrasal Segmentation Models for Statistical Machine Translation
    13 years 9 months ago
    Phrasal Segmentation Models for Statistical Machine Translation
    Download  www.aclweb.org
    Phrasal segmentation models define a mapping from the words of a sentence to sequences of translatable phrases. We discuss the estimation of these models from large quantities of ...
    Graeme W. Blackwood, Adrià de Gispert, Will...
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    COLING
    2008
    169views Computational Linguistics» more  COLING 2008»
    Integrating Motion Predicate Classes with Spatial and Temporal Annotations
    13 years 9 months ago
    Integrating Motion Predicate Classes with Spatial and Temporal Annotations
    Download  www.aclweb.org
    We propose a spatio-temporal markup for the annotation of motion predicates in text, informed by a lexical semantic classification of these verbs. We incorporate this classificati...
    James Pustejovsky, Jessica L. Moszkowicz
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    COLING
    2008
    133views Computational Linguistics» more  COLING 2008»
    A Hybrid Generative/Discriminative Framework to Train a Semantic Parser from an Un-annotated Corpus
    13 years 9 months ago
    A Hybrid Generative/Discriminative Framework to Train a Semantic Parser from an Un-annotated Corpus
    Download  www.aclweb.org
    We propose a hybrid generative/discriminative framework for semantic parsing which combines the hidden vector state (HVS) model and the hidden Markov support vector machines (HMSV...
    Deyu Zhou, Yulan He
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    COLING
    2008
    118views Computational Linguistics» more  COLING 2008»
    Multi-Criteria-Based Strategy to Stop Active Learning for Data Annotation
    13 years 9 months ago
    Multi-Criteria-Based Strategy to Stop Active Learning for Data Annotation
    Download  www.aclweb.org
    Jingbo Zhu, Huizhen Wang, Eduard H. Hovy
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    COLING
    2008
    124views Computational Linguistics» more  COLING 2008»
    Evaluating Unsupervised Part-of-Speech Tagging for Grammar Induction
    13 years 9 months ago
    Evaluating Unsupervised Part-of-Speech Tagging for Grammar Induction
    Download  cs.brown.edu
    This paper explores the relationship between various measures of unsupervised part-of-speech tag induction and the performance of both supervised and unsupervised parsing models t...
    William P. Headden III, David McClosky, Eugene Cha...
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    COLING
    2008
    114views Computational Linguistics» more  COLING 2008»
    Modeling Semantic Containment and Exclusion in Natural Language Inference
    13 years 9 months ago
    Modeling Semantic Containment and Exclusion in Natural Language Inference
    Download  nlp.stanford.edu
    We propose an approach to natural language inference based on a model of natural logic, which identifies valid inferences by their lexical and syntactic features, without full sem...
    Bill MacCartney, Christopher D. Manning
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    COLING
    2008
    115views Computational Linguistics» more  COLING 2008»
    Stopping Criteria for Active Learning of Named Entity Recognition
    13 years 9 months ago
    Stopping Criteria for Active Learning of Named Entity Recognition
    Download  www.aclweb.org
    Active learning is a proven method for reducing the cost of creating the training sets that are necessary for statistical NLP. However, there has been little work on stopping crit...
    Florian Laws, Hinrich Schütze
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    COLING
    2008
    151views Computational Linguistics» more  COLING 2008»
    Automatic Seed Word Selection for Unsupervised Sentiment Classification of Chinese Text
    13 years 9 months ago
    Automatic Seed Word Selection for Unsupervised Sentiment Classification of Chinese Text
    Download  www.aclweb.org
    We describe and evaluate a new method of automatic seed word selection for unsupervised sentiment classification of product reviews in Chinese. The whole method is unsupervised an...
    Taras Zagibalov, John Carroll
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