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    NAACL
    2004
    94views Computational Linguistics» more  NAACL 2004»
    Sentence-Internal Prosody Does not Help Parsing the Way Punctuation Does
    13 years 8 months ago
    Sentence-Internal Prosody Does not Help Parsing the Way Punctuation Does
    Download  acl.ldc.upenn.edu
    This paper investigates the usefulness of sentence-internal prosodic cues in syntactic parsing of transcribed speech. Intuitively, prosodic cues would seem to provide much the sam...
    Michelle L. Gregory, Mark Johnson, Eugene Charniak
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    NAACL
    2004
    94views Computational Linguistics» more  NAACL 2004»
    Lattice-Based Search for Spoken Utterance Retrieval
    13 years 8 months ago
    Lattice-Based Search for Spoken Utterance Retrieval
    Download  acl.ldc.upenn.edu
    Recent work on spoken document retrieval has suggested that it is adequate to take the singlebest output of ASR, and perform text retrieval on this output. This is reasonable enou...
    Murat Saraclar, Richard Sproat
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    NAACL
    2001
    130views Computational Linguistics» more  NAACL 2001»
    Learning Optimal Dialogue Management Rules by Using Reinforcement Learning and Inductive Logic Programming
    13 years 8 months ago
    Learning Optimal Dialogue Management Rules by Using Reinforcement Learning and Inductive Logic Programming
    Download  www.aclweb.org
    Developing dialogue systems is a complex process. In particular, designing efficient dialogue management strategies is often difficult as there are no precise guidelines to develo...
    Renaud Lecoeuche
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    NAACL
    2001
    105views Computational Linguistics» more  NAACL 2001»
    Generating Training Data for Medical Dictations
    13 years 8 months ago
    Generating Training Data for Medical Dictations
    Download  acl.ldc.upenn.edu
    In automatic speech recognition (ASR) enabled applications for medical dictations, corpora of literal transcriptions of speech are critical for training both speaker independent a...
    Sergey V. Pakhomov, Michael Schonwetter, Joan Bach...
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    NAACL
    2003
    106views Computational Linguistics» more  NAACL 2003»
    Japanese Named Entity Extraction with Redundant Morphological Analysis
    13 years 8 months ago
    Japanese Named Entity Extraction with Redundant Morphological Analysis
    Download  acl.ldc.upenn.edu
    Named Entity (NE) extraction is an important subtask of document processing such as information extraction and question answering. A typical method used for NE extraction of Japan...
    Masayuki Asahara, Yuji Matsumoto
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