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    NAACL
    2007
    107views Computational Linguistics» more  NAACL 2007»
    Lexicalized Markov Grammars for Sentence Compression
    13 years 9 months ago
    Lexicalized Markov Grammars for Sentence Compression
    Download  acl.ldc.upenn.edu
    We present a sentence compression system based on synchronous context-free grammars (SCFG), following the successful noisy-channel approach of (Knight and Marcu, 2000). We define...
    Michel Galley, Kathleen McKeown
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    NAACL
    2007
    61views Computational Linguistics» more  NAACL 2007»
    A Unified Local and Global Model for Discourse Coherence
    13 years 9 months ago
    A Unified Local and Global Model for Discourse Coherence
    Download  www.cs.brown.edu
    Micha Elsner, Joseph Austerweil, Eugene Charniak
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    NAACL
    2007
    105views Computational Linguistics» more  NAACL 2007»
    Statistical Phrase-Based Post-Editing
    13 years 9 months ago
    Statistical Phrase-Based Post-Editing
    Download  www.statmt.org
    This article describes a machine translation system based on an automatic post-editing strategy: initially translate the input text into the target-language using a rule-based MT ...
    Michel Simard, Cyril Goutte, Pierre Isabelle
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    NAACL
    2007
    95views Computational Linguistics» more  NAACL 2007»
    Using "Annotator Rationales" to Improve Machine Learning for Text Categorization
    13 years 9 months ago
    Using "Annotator Rationales" to Improve Machine Learning for Text Categorization
    Download  cs.jhu.edu
    We propose a new framework for supervised machine learning. Our goal is to learn from smaller amounts of supervised training data, by collecting a richer kind of training data: an...
    Omar Zaidan, Jason Eisner, Christine D. Piatko
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    NAACL
    2007
    84views Computational Linguistics» more  NAACL 2007»
    Applying Many-to-Many Alignments and Hidden Markov Models to Letter-to-Phoneme Conversion
    13 years 9 months ago
    Applying Many-to-Many Alignments and Hidden Markov Models to Letter-to-Phoneme Conversion
    Download  acl.ldc.upenn.edu
    Letter-to-phoneme conversion generally requires aligned training data of letters and phonemes. Typically, the alignments are limited to one-to-one alignments. We present a novel t...
    Sittichai Jiampojamarn, Grzegorz Kondrak, Tarek Sh...
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    NAACL
    2007
    81views Computational Linguistics» more  NAACL 2007»
    Worst-Case Synchronous Grammar Rules
    13 years 9 months ago
    Worst-Case Synchronous Grammar Rules
    Download  www.cs.rochester.edu
    We relate the problem of finding the best application of a Synchronous ContextFree Grammar (SCFG) rule during parsing to a Markov Random Field. This representation allows us to u...
    Daniel Gildea, Daniel Stefankovic
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    NAACL
    2007
    136views Computational Linguistics» more  NAACL 2007»
    Improved Inference for Unlexicalized Parsing
    13 years 9 months ago
    Improved Inference for Unlexicalized Parsing
    Download  www.petrovi.de
    We present several improvements to unlexicalized parsing with hierarchically state-split PCFGs. First, we present a novel coarse-to-fine method in which a grammar’s own hierarc...
    Slav Petrov, Dan Klein
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    NAACL
    2007
    130views Computational Linguistics» more  NAACL 2007»
    Multiple Aspect Ranking Using the Good Grief Algorithm
    13 years 9 months ago
    Multiple Aspect Ranking Using the Good Grief Algorithm
    Download  people.csail.mit.edu
    We address the problem of analyzing multiple related opinions in a text. For instance, in a restaurant review such opinions may include food, ambience and service. We formulate th...
    Benjamin Snyder, Regina Barzilay
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    NAACL
    2007
    107views Computational Linguistics» more  NAACL 2007»
    Unsupervised Resolution of Objects and Relations on the Web
    13 years 9 months ago
    Unsupervised Resolution of Objects and Relations on the Web
    Download  turing.cs.washington.edu
    The task of identifying synonymous relations and objects, or Synonym Resolution (SR), is critical for high-quality information extraction. The bulk of previous SR work assumed str...
    Alexander Yates, Oren Etzioni
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    NAACL
    2007
    157views Computational Linguistics» more  NAACL 2007»
    Combining Outputs from Multiple Machine Translation Systems
    13 years 9 months ago
    Combining Outputs from Multiple Machine Translation Systems
    Download  aclweb.org
    Currently there are several approaches to machine translation (MT) based on different paradigms; e.g., phrasal, hierarchical and syntax-based. These three approaches yield similar...
    Antti-Veikko I. Rosti, Necip Fazil Ayan, Bing Xian...
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