Difference between revisions of "Event:CLEF 2021"

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|Twitter account=@clef_initiative
 
|Twitter account=@clef_initiative
 
|City=Bucharest
 
|City=Bucharest
|Country=Romania
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|Country=Country:RO
 
|Paper deadline=2021/05/03
 
|Paper deadline=2021/05/03
 
|Notification=2021/06/04
 
|Notification=2021/06/04
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|Start Date=2021/09/21
 
|Start Date=2021/09/21
 
|End Date=2021/09/24
 
|End Date=2021/09/24
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|Event Status=as scheduled
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|Event Mode=on site
 
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=== Topics ===
 
=== Topics ===

Revision as of 13:52, 6 September 2022

Topics

Relevant topics for the CLEF 2021 Conference include but are not limited to:

  • Information Access in any language or modality: information retrieval, image retrieval, question answering, search interfaces and design, infrastructures, etc.
  • Analytics for Information Retrieval: theoretical and practical results in the analytics field that are specifically targeted for information access data analysis, data enrichment, etc.
  • User studies either based on lab studies or crowdsourcing.
  • Past results/run deep analysis both statistically and fine grain based.
  • Evaluation initiatives: conclusions, lessons learned, impact and projection of any evaluation initiative after completing their cycle.
  • Evaluation: methodologies, metrics, statistical and analytical tools, component based, user groups and use cases, ground-truth creation, impact of multilingual/multicultural/multimodal differences, etc.
  • Technology transfer: economic impact/sustainability of information access approaches, deployment and exploitation of systems, use cases, etc.
  • Interactive Information Retrieval evaluation: the interactive evaluation of information retrieval systems using user-centered methods, evaluation of novel search interfaces, novel interactive evaluation methods, simulation of interaction, etc.
  • Specific application domains: Information access and its evaluation in application domains such as cultural heritage, digital libraries, social media, expert search, health information, legal documents, patents, news, books, plants, etc.
  • New data collection: presentation of new data collection with potential high impact on future research, specific collections from companies or labs, multilingual collections.
  • Work on data from rare languages, collaborative, social data.
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