INEX Tweet Contextualization Track at CLEF 2012: Query Reformulation using Terminological Patterns and Automatic Summarization.
Jorge Vivaldi, Iria da Cunha · 2012
Abstract. The tweet contextualization INEX task at CLEF 2012 con-sists of the developing of a system that, given a tweet, can 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 sum-mary, not exceeding 500 words, composed of passages from a provided Wikipedia corpus. Our general approach to get this objective is the fol-lowing: we perform some automatic reformulations of the initial tweets provided for the task (obtaining a list of terms related with the main topic of all them using terminological patterns). Then, using these re-formulated tweets, we obtain related documents with the search engine Indri. Finally, we use REG, an automatic extractive summarization sys-tem based on graphs, to summarize these documents and provide the summary associated to each tweet.