The INFILE@CLEF 2009 track is the second run of this track on the evaluation of cross-language adaptive filtering systems. It uses the same corpus as the 2008 track, composed of 300,000 newswires from Agence France Presse (AFP) in three languages: Arabic, English and French, and a set of 50 topics in general and specific domain (scientific and technological information). We proposed this year t...

Personalized information is a growing trend on the web. It relies on representations of the readers and/or their reading habits based on their clicks which computers can perceive and interpret : behavioural, contextual (what the person clicked) and declarative (?) data (who clicked?). This paper; on the basis of data collected as part of a research project, offers to question what is at stake i...

Der Faktor Konsolidierung war in den vergangenen Jahren und ist noch jeden Tag ein sehr aktuelles Thema in der Presse. Übernahmeschlachten wie zwischen Oracle und Peoplesoft und die regelmäßige Bekanntgabe von Aufkäufen der großen Softwareanbieter wie Microsoft, IBM, SAP und anderen lassen die Anzahl der Marktteilnehmer in verschiedenen Teilen der Softwareindustrie deutlich schrumpfen. Aber auc...

Extraction et exploitation des annotations contextuelles, Noureddine Mokhtari, Rose Dieng-Kuntz Vers une fouille sémantique des brevets: Application au domaine biomédical, Nizar Ghoula, Khaled Khelif, Rose Dieng-Kuntz Utilisation du Web Sémantique pour la gestion d’une liste de diffusion d’une CoP, Bassem Makni, Khaled Khelif, Hacène Cherfi, Rose Dieng-Kuntz Approche d’annotation automatique de...

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We present an approach for detecting salient (important) dates in texts in order to automatically build event timelines from a search query (e.g. the name of an event or person, etc.). This work was carried out on a corpus of newswire texts in English provided by the Agence France Presse (AFP). In order to extract salient dates that warrant inclusion in an event timeline, we first recognize and...