Two Statistical Summarizers at INEX 2012 Tweet Contextualization Track
نویسندگان
چکیده
According to the organizers, the objective of the 2012 INEX Tweet Contextualization Task 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 summarizers Cortex and KL-summ applied to the INEX 2012 task. Cortex summarizer uses several sentence selection metrics and an optimal decision module to score sentences from a document source. KLsumm is a new statistical summarizer based on Kullback-Leibler divergence (the same used by INEX organizers) to score sentences. The results show that Cortex system (using original tweets) outperforms KL-summ on INEX task.
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