Difference between revisions of "DISCo 2011 shared task data: Compositionality judgments (Repository)"

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''Please copy and paste this text (while in edit mode) into the metadata file for your contribution to the [[ACL Data and Code Repository]] and edit it as appropriate.''
 
  
  
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* '''Description:''' The DISCo 2011 shared task dataset contains compositionality judgements for ADJ_NN, V_SUBJ and V_OBJ phrases for German and English. These were aggregated over judgments on 5 sentence contexts each. The sentence-lvel judgments are also available in this dataset.  
 
* '''Description:''' The DISCo 2011 shared task dataset contains compositionality judgements for ADJ_NN, V_SUBJ and V_OBJ phrases for German and English. These were aggregated over judgments on 5 sentence contexts each. The sentence-lvel judgments are also available in this dataset.  
  
* '''Download''':  (''link to download file'')  
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* '''Download''':  http://aclweb.org/aclwiki/code/3/38/Disco2011-shared-task-complete-dataset.zip (''link to download file'')  
  
  
[[Category:Data and code repository|Template for data]]
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[[Category:Data and code repository]]

Revision as of 03:01, 30 June 2011


  • ADCR ID: ADCR2011T007
  • Contributor: Chris Biemann, TU Darmstadt, Germany, biemann@tk.informatik.tu-darmstadt.de
  • Licensing: This work is not licensed. You can use it as you wish.
  • Citation: If you use the DISCo 2011 shared task dataset in your research, please include the following citation in any resulting papers:
Biemann, C. and Giesbrecht, E. (2011): Distributional Semantics and Compositionality 2011: Shared Task Description and Results. Proceedings of the ACL-HLT 2011 Workshop on Distributional Semantics and Compositionality (DISCo 2011), Portland, Oregon, USA. http://aclweb.org/anthology-new/W/W11/W11-1304.pdf
  • Description: The DISCo 2011 shared task dataset contains compositionality judgements for ADJ_NN, V_SUBJ and V_OBJ phrases for German and English. These were aggregated over judgments on 5 sentence contexts each. The sentence-lvel judgments are also available in this dataset.