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    ACL
    2004
    165views Computational Linguistics» more  ACL 2004»
    Discriminative Training of a Neural Network Statistical Parser
    14 years 29 days ago
    Discriminative Training of a Neural Network Statistical Parser
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    Discriminative methods have shown significant improvements over traditional generative methods in many machine learning applications, but there has been difficulty in extending th...
    James Henderson
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    ACL
    2004
    122views Computational Linguistics» more  ACL 2004»
    Discovering Relations among Named Entities from Large Corpora
    14 years 29 days ago
    Discovering Relations among Named Entities from Large Corpora
    Download  cs.nyu.edu
    Discovering the significant relations embedded in documents would be very useful not only for information retrieval but also for question answering and summarization. Prior method...
    Takaaki Hasegawa, Satoshi Sekine, Ralph Grishman
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    ACL
    2004
    138views Computational Linguistics» more  ACL 2004»
    Using Conditional Random Fields to Predict Pitch Accents in Conversational Speech
    14 years 29 days ago
    Using Conditional Random Fields to Predict Pitch Accents in Conversational Speech
    Download  acl.ldc.upenn.edu
    The detection of prosodic characteristics is an important aspect of both speech synthesis and speech recognition. Correct placement of pitch accents aids in more natural sounding ...
    Michelle L. Gregory, Yasemin Altun
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    ACL
    2004
    106views Computational Linguistics» more  ACL 2004»
    Inducing Frame Semantic Verb Classes from WordNet and LDOCE
    14 years 29 days ago
    Inducing Frame Semantic Verb Classes from WordNet and LDOCE
    Download  acl.ldc.upenn.edu
    This paper presents SemFrame, a system that induces frame semantic verb classes from WordNet and LDOCE. Semantic frames are thought to have significant potential in resolving the ...
    Rebecca Green, Bonnie J. Dorr, Philip Resnik
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    ACL
    2004
    93views Computational Linguistics» more  ACL 2004»
    Data-Driven Strategies for an Automated Dialogue System
    14 years 29 days ago
    Data-Driven Strategies for an Automated Dialogue System
    Download  acl.ldc.upenn.edu
    We present a prototype natural-language problem-solving application for a financial services call center, developed as part of the Amiti
    Hilda Hardy, Tomek Strzalkowski, Min Wu, Cristian ...
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    ACL
    2004
    132views Computational Linguistics» more  ACL 2004»
    Aligning words using matrix factorisation
    14 years 29 days ago
    Aligning words using matrix factorisation
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    Aligning words from sentences which are mutual translations is an important problem in different settings, such as bilingual terminology extraction, Machine Translation, or projec...
    Cyril Goutte, Kenji Yamada, Éric Gaussier
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    ACL
    2004
    112views Computational Linguistics» more  ACL 2004»
    Attention Shifting for Parsing Speech
    14 years 29 days ago
    Attention Shifting for Parsing Speech
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    We present a technique that improves the efficiency of word-lattice parsing as used in speech recognition language modeling. Our technique applies a probabilistic parser iterative...
    Keith B. Hall, Mark Johnson
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    ACL
    2004
    113views Computational Linguistics» more  ACL 2004»
    A Geometric View on Bilingual Lexicon Extraction from Comparable Corpora
    14 years 29 days ago
    A Geometric View on Bilingual Lexicon Extraction from Comparable Corpora
    Download  acl.ldc.upenn.edu
    Éric Gaussier, Jean-Michel Renders, Irina M...
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    ACL
    2004
    89views Computational Linguistics» more  ACL 2004»
    Adaptive Chinese Word Segmentation
    14 years 29 days ago
    Adaptive Chinese Word Segmentation
    Download  acl.ldc.upenn.edu
    This paper presents a Chinese word segmentation system which can adapt to different domains and standards. We first present a statistical framework where domain-specific words are...
    Jianfeng Gao, Andi Wu, Cheng-Ning Huang, Hongqiao ...
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    ACL
    2004
    135views Computational Linguistics» more  ACL 2004»
    Combining Acoustic and Pragmatic Features to Predict Recognition Performance in Spoken Dialogue Systems
    14 years 29 days ago
    Combining Acoustic and Pragmatic Features to Predict Recognition Performance in Spoken Dialogue Systems
    Download  acl.ldc.upenn.edu
    We use machine learners trained on a combination of acoustic confidence and pragmatic plausibility features computed from dialogue context to predict the accuracy of incoming n-be...
    Malte Gabsdil, Oliver Lemon
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