Difference between revisions of "Event:LREC 2020"

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|Title=12th Conference on Language Resources and Evaluation
 
|Title=12th Conference on Language Resources and Evaluation
 
|Type=Conference
 
|Type=Conference
|Field=Natural Language Processing
 
 
|Homepage=https://lrec2020.lrec-conf.org/
 
|Homepage=https://lrec2020.lrec-conf.org/
 
|Twitter account=@lrec2020
 
|Twitter account=@lrec2020
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|Start Date=2020/05/11
 
|Start Date=2020/05/11
 
|End Date=2020/05/16
 
|End Date=2020/05/16
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|Academic Field=Natural Language Processing
 
}}
 
}}
 
To continue the efforts initiated at LREC 2014 about “Sharing LRs” (data, tools, web-services, etc.), authors will have the possibility, when submitting a paper, to upload LRs in a special LREC repository. This effort of sharing LRs, linked to the LRE Map for their description, may become a new “regular” feature for conferences in our field, thus contributing to creating a common repository where everyone can deposit and share data.
 
To continue the efforts initiated at LREC 2014 about “Sharing LRs” (data, tools, web-services, etc.), authors will have the possibility, when submitting a paper, to upload LRs in a special LREC repository. This effort of sharing LRs, linked to the LRE Map for their description, may become a new “regular” feature for conferences in our field, thus contributing to creating a common repository where everyone can deposit and share data.

Revision as of 13:42, 24 August 2022

To continue the efforts initiated at LREC 2014 about “Sharing LRs” (data, tools, web-services, etc.), authors will have the possibility, when submitting a paper, to upload LRs in a special LREC repository. This effort of sharing LRs, linked to the LRE Map for their description, may become a new “regular” feature for conferences in our field, thus contributing to creating a common repository where everyone can deposit and share data.

As scientific work requires accurate citations of referenced work so as to allow the community to understand the whole context and also replicate the experiments conducted by other researchers, LREC 2020 endorses the need to uniquely identify LRs through the use of the International Standard Language Resource Number (ISLRN, www.islrn.org), a Persistent Unique Identifier to be assigned to each Language Resource.

Topics

  • Issues in the design, construction and use of LRs: text, speech, sign, gesture, image, in single or multimodal/multimedia data
  • Exploitation of LRs in systems and applications
  • Issues in LT evaluation
  • General issues regarding LRs & Evaluation
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