Three Statistical Summarizers at CLEF-INEX 2013 Tweet Contextualization Track

According to the organizers, the objective of the 2014 CLEFINEX Tweet Contextualization Task is: “...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 summarization including entity linking.” We present three statistical summarizer systems applied to the CLEF-INEX 2014 task. Cortex summarizer uses several sentence selection metrics and an optimal decision module to score sentences from a document source. Artex summarizer uses a simple inner product among the topic-vector and the pseudo-word vector. Reg summarizer is a performant graph-based summarizer. The results show that our systems performed well on CLEF-INEX task. Our three systems have obtained the first rank in the INEX manual evaluation.