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    EMNLP
    2008
    123views Natural Language Processing» more  EMNLP 2008»
    Weakly-Supervised Acquisition of Labeled Class Instances using Graph Random Walks
    13 years 9 months ago
    Weakly-Supervised Acquisition of Labeled Class Instances using Graph Random Walks
    Download  www.talukdar.net
    We present a graph-based semi-supervised label propagation algorithm for acquiring opendomain labeled classes and their instances from a combination of unstructured and structured...
    Partha Pratim Talukdar, Joseph Reisinger, Marius P...
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    EMNLP
    2008
    83views Natural Language Processing» more  EMNLP 2008»
    Sentence Fusion via Dependency Graph Compression
    13 years 9 months ago
    Sentence Fusion via Dependency Graph Compression
    Download  www.aclweb.org
    Katja Filippova, Michael Strube
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    EMNLP
    2008
    67views Natural Language Processing» more  EMNLP 2008»
    Jointly Combining Implicit Constraints Improves Temporal Ordering
    13 years 9 months ago
    Jointly Combining Implicit Constraints Improves Temporal Ordering
    Download  nlp.stanford.edu
    Previous work on ordering events in text has typically focused on local pairwise decisions, ignoring globally inconsistent labels. However, temporal ordering is the type of domain...
    Nathanael Chambers, Daniel Jurafsky
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    EMNLP
    2008
    159views Natural Language Processing» more  EMNLP 2008»
    A Japanese Predicate Argument Structure Analysis using Decision Lists
    13 years 9 months ago
    A Japanese Predicate Argument Structure Analysis using Decision Lists
    Download  www.aclweb.org
    This paper describes a new automatic method for Japanese predicate argument structure analysis. The method learns relevant features to assign case roles to the argument of the tar...
    Hirotoshi Taira, Sanae Fujita, Masaaki Nagata
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    EMNLP
    2008
    127views Natural Language Processing» more  EMNLP 2008»
    A Structured Vector Space Model for Word Meaning in Context
    13 years 9 months ago
    A Structured Vector Space Model for Word Meaning in Context
    Download  nlp.stanford.edu
    We address the task of computing vector space representations for the meaning of word occurrences, which can vary widely according to context. This task is a crucial step towards ...
    Katrin Erk, Sebastian Padó
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    EMNLP
    2008
    90views Natural Language Processing» more  EMNLP 2008»
    The Linguistic Structure of English Web-Search Queries
    13 years 9 months ago
    The Linguistic Structure of English Web-Search Queries
    Download  www.aclweb.org
    Web-search queries are known to be short, but little else is known about their structure. In this paper we investigate the applicability of part-of-speech tagging to typical Engli...
    Cory Barr, Rosie Jones, Moira Regelson
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    EMNLP
    2008
    74views Natural Language Processing» more  EMNLP 2008»
    Learning the Scope of Negation in Biomedical Texts
    13 years 9 months ago
    Learning the Scope of Negation in Biomedical Texts
    Download  anthony.liekens.net
    Roser Morante, Anthony M. L. Liekens, Walter Daele...
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    EMNLP
    2008
    120views Natural Language Processing» more  EMNLP 2008»
    Who is Who and What is What: Experiments in Cross-Document Co-Reference
    13 years 9 months ago
    Who is Who and What is What: Experiments in Cross-Document Co-Reference
    Download  www.aclweb.org
    This paper describes a language-independent, scalable system for both challenges of crossdocument co-reference: name variation and entity disambiguation. We provide system results...
    Alex Baron, Marjorie Freedman
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    EMNLP
    2008
    94views Natural Language Processing» more  EMNLP 2008»
    Cross-Task Knowledge-Constrained Self Training
    13 years 9 months ago
    Cross-Task Knowledge-Constrained Self Training
    Download  www.cs.utah.edu
    We present an algorithmic framework for learning multiple related tasks. Our framework exploits a form of prior knowledge that relates the output spaces of these tasks. We present...
    Hal Daumé III
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    EMNLP
    2008
    100views Natural Language Processing» more  EMNLP 2008»
    Revisiting Readability: A Unified Framework for Predicting Text Quality
    13 years 9 months ago
    Revisiting Readability: A Unified Framework for Predicting Text Quality
    Download  www.cis.upenn.edu
    We combine lexical, syntactic, and discourse features to produce a highly predictive model of human readers' judgments of text readability. This is the first study to take in...
    Emily Pitler, Ani Nenkova
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