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    NAACL
    2003
    106views Computational Linguistics» more  NAACL 2003»
    Weakly Supervised Natural Language Learning Without Redundant Views
    13 years 11 months ago
    Weakly Supervised Natural Language Learning Without Redundant Views
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    We investigate single-view algorithms as an alternative to multi-view algorithms for weakly supervised learning for natural language processing tasks without a natural feature spl...
    Vincent Ng, Claire Cardie
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    NAACL
    2003
    111views Computational Linguistics» more  NAACL 2003»
    Cooperative model-based language understanding
    13 years 11 months ago
    Cooperative model-based language understanding
    Download  acl.ldc.upenn.edu
    In this paper, we propose a novel Cooperative Model for natural language understanding in a dialogue system. We build this based on both Finite State Model (FSM) and Statistical L...
    Donghui Feng
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    NAACL
    2003
    79views Computational Linguistics» more  NAACL 2003»
    Simpler and More General Minimization for Weighted Finite-State Automata
    13 years 11 months ago
    Simpler and More General Minimization for Weighted Finite-State Automata
    Download  acl.ldc.upenn.edu
    Previous work on minimizing weighted finite-state automata (including transducers) is limited to particular types of weights. We present efficient new minimization algorithms th...
    Jason Eisner
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    NAACL
    2003
    84views Computational Linguistics» more  NAACL 2003»
    References to Named Entities: a Corpus Study
    13 years 11 months ago
    References to Named Entities: a Corpus Study
    Download  acl.ldc.upenn.edu
    References included in multi-document summaries are often problematic. In this paper, we present a corpus study performed to derive a statistical model for the syntactic realizati...
    Ani Nenkova, Kathleen McKeown
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    NAACL
    2003
    149views Computational Linguistics» more  NAACL 2003»
    Semantic Language Models for Topic Detection and Tracking
    13 years 11 months ago
    Semantic Language Models for Topic Detection and Tracking
    Download  www.cs.cmu.edu
    In this work, we present a new semantic language modeling approach to model news stories in the Topic Detection and Tracking (TDT) task. In the new approach, we build a unigram la...
    Ramesh Nallapati
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    NAACL
    2003
    105views Computational Linguistics» more  NAACL 2003»
    QCS: A Tool for Querying, Clustering, and Summarizing Documents
    13 years 11 months ago
    QCS: A Tool for Querying, Clustering, and Summarizing Documents
    Download  acl.ldc.upenn.edu
    The QCS information retrieval (IR) system is presented as a tool for querying, clustering, and summarizing document sets. QCS has been developed as a modular development framework...
    Daniel M. Dunlavy, John M. Conroy, Dianne P. O'Lea...
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    NAACL
    2003
    86views Computational Linguistics» more  NAACL 2003»
    Category-based Pseudowords
    13 years 11 months ago
    Category-based Pseudowords
    Download  biotext.berkeley.edu
    A pseudoword is a composite comprised of two or more words chosen at random; the individual occurrences of the original words within a text are replaced by their conflation. Pseu...
    Preslav Nakov, Marti A. Hearst
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    NAACL
    2003
    122views Computational Linguistics» more  NAACL 2003»
    A Spoken Dialogue Interface to a Geologist's Field Assistant
    13 years 11 months ago
    A Spoken Dialogue Interface to a Geologist's Field Assistant
    Download  acl.ldc.upenn.edu
    We will demonstrate a spoken dialogue interface to a Geologist’s Field Assistant that is being developed as part of NASA’s Mobile Agents project. The assistant consists of a r...
    John Dowding, James Hieronymus
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    NAACL
    2003
    152views Computational Linguistics» more  NAACL 2003»
    Active Learning for Classifying Phone Sequences from Unsupervised Phonotactic Models
    13 years 11 months ago
    Active Learning for Classifying Phone Sequences from Unsupervised Phonotactic Models
    Download  acl.ldc.upenn.edu
    This paper describes an application of active learning methods to the classification of phone strings recognized using unsupervised phonotactic models. The only training data req...
    Shona Douglas
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    NAACL
    2003
    96views Computational Linguistics» more  NAACL 2003»
    Adaptation Using Out-of-Domain Corpus within EBMT
    13 years 11 months ago
    Adaptation Using Out-of-Domain Corpus within EBMT
    Download  acl.ldc.upenn.edu
    In order to boost the translation quality of EBMT based on a small-sized bilingual corpus, we use an out-of-domain bilingual corpus and, in addition, the language model of an indo...
    Takao Doi, Eiichiro Sumita, Hirofumi Yamamoto
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