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Welcome to the homepage of the NAACL-HLT 2012 Workshop on Induction of Linguistic Structure. This workshop addresses the challenges of learning in an unsupervised or minimally supervised context with questions of linguistic structure. It encompasses many popular themes in computational linguistics and machine learning, including grammar induction, shallow syntax induction (e.g., parts of speech), learning semantics, learning the structure of documents and discourses, and learning relations within multilingual text collections. Unlike supervised settings, where annotated training data is available, unsupervised induction is considerably more difficult, both in terms of modelling and evaluation. Welcome to the homepage of the NAACL-HLT 2012 Workshop on Inducing Linguistic Structure. This workshop addresses the challenges of learning in an unsupervised or minimally supervised context with questions of linguistic structure. It encompasses many popular themes in computational linguistics and machine learning, including grammar induction, shallow syntax induction (e.g., parts of speech), learning semantics, learning the structure of documents and discourses, and learning relations within multilingual text collections. Unlike supervised settings, where annotated training data is available, unsupervised induction is considerably more difficult, both in terms of modelling and evaluation.

Workshop on Induction of Linguistic Structure


Welcome to the homepage of the NAACL-HLT 2012 Workshop on Inducing Linguistic Structure. This workshop addresses the challenges of learning in an unsupervised or minimally supervised context with questions of linguistic structure. It encompasses many popular themes in computational linguistics and machine learning, including grammar induction, shallow syntax induction (e.g., parts of speech), learning semantics, learning the structure of documents and discourses, and learning relations within multilingual text collections. Unlike supervised settings, where annotated training data is available, unsupervised induction is considerably more difficult, both in terms of modelling and evaluation.

For more information see the CallForPapers and the following links


Important Dates

Training Data Released

-

Test Data Release

-

Test Data Submission

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Workshop Papers Submission

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Shared Task System Description Submission

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Acceptance Notification

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NAACL-HLT 2012

Jun 4-6, 2012

Workshop

Jun 7-8, 2012


News

Organisers

  • Trevor Cohn, The University of Sheffield
  • João Graça, INESC-ID Lisboa Spoken Language Systems Lab
  • Phil Blunsom, The University of Oxford

Program Committee

  • Ben Taskar - University of Pennsylvania
  • Andreas Vlachos - University of Cambridge
  • Chris Dyer - CMU
  • Mark Drezde - John Hopkins
  • Shai Cohen - Columbia University
  • Kuzman Ganchev - Google Inc.
  • André Martins - CMU/IST Portugal
  • Greg Druck - Yahoo
  • Ryan McDonald - Google Inc.

  • Nathan Schneider - CMU
  • Partha Talukdar - CMU
  • Dipanjan Das - CMU
  • Mark Steedman - University of Edinburgh
  • Luke Zettlemoyer - University of Washington
  • Roi Reichart - MIT
  • David Smith - University of Massachusetts
  • Ivan Titov - Saarland University
  • Alex Clarke - Royal Holloway University
  • Khalil Sima'an - University of Amsterdam
  • Stella Frank - University of Edinburgh


Registration

None: InducingLinguisticStructure (last edited 2012-11-13 13:53:37 by TrevorCohn)