An Automatic Greedy Summarization System at INEX 2013 Tweet Contextualization Track

According to the organizers, the aim of the 2013 INEX Tweet Contextualization Track is: “...given a tweet, the system must provide some context about the subject of the tweet, in order to help the reader to understand it. This context should take the form of a readable (and short) summary, composed of passages from [...] Wikipedia.” We present an automatic greedy summarizer named REG applied to the INEX 2013 task. REG summarizer uses a greedy optimization algorithm to weigh the sentences. The summary is obtained by concatenating the relevant sentences, weighed in the optimization step. The results show that the REG system (using original tweets with a manual processing) do not perform very well on INEX 2013 contextualization track.