LIG at CLEF 2016 Cultural Microblog Contextualization: TimeLine Illustration based on Microblogs

Autor: Dogra, Nayanika, Mulhem, Philippe, Ould Amer, Nawal, Goeuriot, Lorraine
Přispěvatelé: Laboratoire d'Informatique de Grenoble (LIG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Modélisation et Recherche d’Information Multimédia [Grenoble] (MRIM ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: CLEF 2016
CLEF 2016, Sep 2016, Evora, Portugal. pp.1201-1206
Popis: International audience; This paper presents the approach used by the LIG-MRIM research group to the participation of the task 3 (TimeLine illustration based on Microblogs) for the CLEF of Cultural Microblog Contextualization track. This task deals with the retrieval of tweets related to cultural events (music festivals). For the content-based elements, we use the classical BM25 model [4]. Then, we diversify the results based on duplicate removal, using tf-based representations of tweets. In a third step, we apply optional re-ranking related to time-line, activity and popularity of authors of tweets.
Databáze: OpenAIRE