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    KONVENS
    2000
    129views Natural Language Processing» more  KONVENS 2000»
    Evaluating Metrical Phonology - a Computational- Empirical Approach
    13 years 11 months ago
    Evaluating Metrical Phonology - a Computational- Empirical Approach
    Download  www.uni-bielefeld.de
    This study aims at providing an empirical basis for the evaluation of predictions made by metrical phonology. The predictions are compared to perceptual syllable prominence annota...
    Patra S. Wagner
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    ACL
    2008
    96views Computational Linguistics» more  ACL 2008»
    Word Clustering and Word Selection Based Feature Reduction for MaxEnt Based Hindi NER
    13 years 9 months ago
    Word Clustering and Word Selection Based Feature Reduction for MaxEnt Based Hindi NER
    Download  www.aclweb.org
    Statistical machine learning methods are employed to train a Named Entity Recognizer from annotated data. Methods like Maximum Entropy and Conditional Random Fields make use of fe...
    Sujan Kumar Saha, Pabitra Mitra, Sudeshna Sarkar
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    ACL
    2008
    99views Computational Linguistics» more  ACL 2008»
    In-Browser Summarisation: Generating Elaborative Summaries Biased Towards the Reading Context
    13 years 9 months ago
    In-Browser Summarisation: Generating Elaborative Summaries Biased Towards the Reading Context
    Download  aclweb.org
    We investigate elaborative summarisation, where the aim is to identify supplementary information that expands upon a key fact. We envisage such summaries being useful when browsin...
    Stephen Wan, Cécile Paris
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    LREC
    2008
    113views Education» more  LREC 2008»
    Subdomain Sensitive Statistical Parsing using Raw Corpora
    13 years 9 months ago
    Subdomain Sensitive Statistical Parsing using Raw Corpora
    Download  www.lrec-conf.org
    Modern statistical parsers are trained on large annotated corpora (treebanks). These treebanks usually consist of sentences addressing different subdomains (e.g. sports, politics,...
    Barbara Plank, Khalil Sima'an
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    EMNLP
    2006
    90views Natural Language Processing» more  EMNLP 2006»
    Humor: Prosody Analysis and Automatic Recognition for F*R*I*E*N*D*S*
    13 years 9 months ago
    Humor: Prosody Analysis and Automatic Recognition for F*R*I*E*N*D*S*
    Download  www.cs.pitt.edu
    We analyze humorous spoken conversations from a classic comedy television show, FRIENDS, by examining acousticprosodic and linguistic features and their utility in automatic humor...
    Amruta Purandare, Diane J. Litman
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