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  DART: A Lightweight Quality-Suggestive Data-to-Text Annotation Tool

Chang, E., Caplinger, J., Marin, A., Shen, X., & Demberg, V. (2020). DART: A Lightweight Quality-Suggestive Data-to-Text Annotation Tool. In M. Ptaszynski, & B. Ziolko (Eds.), The 28th International Conferenceon Computational Linguistics (pp. 12-17). Stroudsburg, PA: ACL. doi:10.18653/v1/2020.coling-demos.3.

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Genre: Conference Paper
Latex : {DART}: {A} Lightweight Quality-Suggestive Data-to-Text Annotation Tool

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 Creators:
Chang, Ernie1, Author
Caplinger, Jeriah1, Author
Marin, Alex1, Author
Shen, Xiaoyu2, Author           
Demberg, Vera1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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Language(s): eng - English
 Dates: 2020
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: URI: https://www.aclweb.org/anthology/2020.coling-demos.3
DOI: 10.18653/v1/2020.coling-demos.3
BibTex Citekey: chang2020dart
 Degree: -

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Title: The 28th International Conferenceon Computational Linguistics
Place of Event: Barcelona, Spain (Online)
Start-/End Date: 2020-12-08 - 2020-12-13

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Title: The 28th International Conferenceon Computational Linguistics
  Abbreviation : COLING 2020
  Subtitle : Proceedings of System Demonstrations
Source Genre: Proceedings
 Creator(s):
Ptaszynski, Michal1, Editor
Ziolko, Bartosz1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Stroudsburg, PA : ACL
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 12 - 17 Identifier: ISBN: 978-1-952148-28-6