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Overview of INEX Tweet Contextualization 2014 track

Abstract : 140 characters long messages are rarely self-content. The Tweet Contextualization aims at providing automatically information - a summary that explains the tweet. This requires combining multiple types of processing from information retrieval to multi-document sum- marization including entity linking. Running since 2010, the task in 2014 was a slight variant of previous ones considering more complex queries from RepLab 2013. Given a tweet and a related entity, systems had to provide some context about the subject of the tweet from the perspective of the entity, in order to help the reader to understand it.
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Submitted on : Wednesday, April 1, 2015 - 9:48:51 AM
Last modification on : Monday, July 4, 2022 - 9:41:41 AM
Long-term archiving on: : Thursday, July 2, 2015 - 3:14:36 PM


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  • HAL Id : hal-01138069, version 1
  • OATAO : 13187


Patrice Bellot, Véronique Moriceau, Josiane Mothe, Eric Sanjuan, Xavier Tannier. Overview of INEX Tweet Contextualization 2014 track. Conference on Multilingual and Multimodal Information Access Evaluation (CLEF) - 2014, Sep 2014, Sheffield - UK, United Kingdom. pp. 1-6. ⟨hal-01138069⟩



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