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    COLING
    2002
    114views Computational Linguistics» more  COLING 2002»
    Language Model Adaptation with Additional Text Generated by Machine Translation
    14 years 8 days ago
    Language Model Adaptation with Additional Text Generated by Machine Translation
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    Hideharu Nakajima, Hirofumi Yamamoto, Taro Watanab...
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    COLING
    2002
    97views Computational Linguistics» more  COLING 2002»
    Detecting Errors in Corpora Using Support Vector Machines
    14 years 8 days ago
    Detecting Errors in Corpora Using Support Vector Machines
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    While the corpus-based research relies on human annotated corpora, it is often said that a non-negligible amount of errors remain even in frequently used corpora such as Penn Tree...
    Tetsuji Nakagawa, Yuji Matsumoto
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    COLING
    2002
    178views Computational Linguistics» more  COLING 2002»
    Annotation-Based Multimedia Summarization and Translation
    14 years 8 days ago
    Annotation-Based Multimedia Summarization and Translation
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    This paper presents techniques for multimedia annotation and their application to video summarization and translation. Our tool for annotation allows users to easily create annota...
    Katashi Nagao, Shigeki Ohira, Mitsuhiro Yoneoka
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    COLING
    2002
    135views Computational Linguistics» more  COLING 2002»
    Hierarchical Orderings of Textual Units
    14 years 8 days ago
    Hierarchical Orderings of Textual Units
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    Text representation is a central task for any approach to automatic learning from texts. It requires a format which allows to interrelate texts even if they do not share content w...
    Alexander Mehler
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    COLING
    2002
    80views Computational Linguistics» more  COLING 2002»
    Stochastic Dependency Parsing of Spontaneous Japanese Spoken Language
    14 years 8 days ago
    Stochastic Dependency Parsing of Spontaneous Japanese Spoken Language
    Download  acl.ldc.upenn.edu
    This paper describes the characteristic features of dependency structures of Japanese spoken language by investigating a spoken dialogue corpus, and proposes a stochastic approach...
    Shigeki Matsubara, Takahisa Murase, Nobuo Kawaguch...
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    COLING
    2002
    121views Computational Linguistics» more  COLING 2002»
    Word Sense Disambiguation using Static and Dynamic Sense Vectors
    14 years 8 days ago
    Word Sense Disambiguation using Static and Dynamic Sense Vectors
    Download  acl.ldc.upenn.edu
    It is popular in WSD to use contextual information in training sense tagged data. Co-occurring words within a limited window-sized context support one sense among the semantically...
    Jong-Hoon Oh, Key-Sun Choi
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    COLING
    2002
    86views Computational Linguistics» more  COLING 2002»
    Example-based Speech Intention Understanding and Its Application to In-Car Spoken Dialogue System
    14 years 8 days ago
    Example-based Speech Intention Understanding and Its Application to In-Car Spoken Dialogue System
    Download  scfdb.tokyo.jst.go.jp
    Shigeki Matsubara, Shinichi Kimura, Nobuo Kawaguch...
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    COLING
    2002
    88views Computational Linguistics» more  COLING 2002»
    A Stochastic Parser Based on an SLM with Arboreal Context Trees
    14 years 8 days ago
    A Stochastic Parser Based on an SLM with Arboreal Context Trees
    Download  acl.ldc.upenn.edu
    In this paper, we present a parser based on a stochastic structured language model (SLM) with a exible history reference mechanism. An SLM is an alternative to an n-gram model as...
    Shinsuke Mori
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    COLING
    2002
    101views Computational Linguistics» more  COLING 2002»
    Syntactic Features for High Precision Word Sense Disambiguation
    14 years 8 days ago
    Syntactic Features for High Precision Word Sense Disambiguation
    Download  acl.ldc.upenn.edu
    This paper explores the contribution of a broad range of syntactic features to WSD: grammatical relations coded as the presence of adjuncts/arguments in isolation or as subcategor...
    David Martínez, Eneko Agirre, Lluís ...
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    COLING
    2002
    126views Computational Linguistics» more  COLING 2002»
    Identifying Anaphoric and Non-Anaphoric Noun Phrases to Improve Coreference Resolution
    14 years 8 days ago
    Identifying Anaphoric and Non-Anaphoric Noun Phrases to Improve Coreference Resolution
    Download  www.cs.cornell.edu
    We present a supervised learning approach to identification of anaphoric and non-anaphoric noun phrases and show how such information can be incorporated into a coreference resolu...
    Vincent Ng, Claire Cardie
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