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    NAACL
    1994
    124views Computational Linguistics» more  NAACL 1994»
    (Almost) Automatic Semantic Feature Extraction from Technical Text
    13 years 9 months ago
    (Almost) Automatic Semantic Feature Extraction from Technical Text
    Download  acl.ldc.upenn.edu
    Acquisition of semantic information is necessary for proper understanding of natural language text. Such information is often domain-speclfic in nature and must be acquized from t...
    Rajeev Agarwal
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    NAACL
    1994
    94views Computational Linguistics» more  NAACL 1994»
    Corpus Development Activities at the Center for Spoken Language Understanding
    13 years 9 months ago
    Corpus Development Activities at the Center for Spoken Language Understanding
    Download  cslu.cse.ogi.edu
    This paper describes eight telephone-speech corpora at various stages of development at the Center for Spoken Language Understanding. For each corpus, we describe data collection ...
    Ronald Cole, Mike Noel, Daniel C. Burnett, Mark A....
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    NAACL
    1994
    107views Computational Linguistics» more  NAACL 1994»
    Language Modeling with Sentence-Level Mixtures
    13 years 9 months ago
    Language Modeling with Sentence-Level Mixtures
    Download  acl.ldc.upenn.edu
    Thispaperintroduces a simple mixtare languagemodelthat attempts to capture long distance conslraints in a sentence orparagraph. The model is an m-component mixture of Irigram mode...
    Rukmini Iyer, Mari Ostendorf, Jan Robin Rohlicek
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    NAACL
    1994
    90views Computational Linguistics» more  NAACL 1994»
    Semantic Evaluation for Spoken-Language Systems
    13 years 9 months ago
    Semantic Evaluation for Spoken-Language Systems
    Download  acl.ldc.upenn.edu
    Development has begun on a semantic evaluation (SemEval) methodology and infrastructure for the ARPA Spoken Language Program. SemEval is an attempt to define a task-independent te...
    Robert C. Moore
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    NAACL
    1994
    128views Computational Linguistics» more  NAACL 1994»
    The Automatic Component of the LINGSTAT Machine-Aided Translation System
    13 years 9 months ago
    The Automatic Component of the LINGSTAT Machine-Aided Translation System
    Download  acl.ldc.upenn.edu
    We present the newest implementation of the LINGSTAT machine-aided translation system. The moat signiflcsat change from earlier versions is a new set of modules that produce a dra...
    Jonathan Yamron, James Cant, Anne Demedts, Taiko D...
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