A Pipeline Tweet Contextualization System at INEX 2013

Abstract. This article describes a pipeline system and preliminary re-sults for Tweet Contextualization at INEX 2013. The system consists of three steps: tweet analysis, passage retrieval and summarization. For each tweet, key phrases are first extracted by making use of ArkTweet toolkit and employing several heuristics. They are then submitted as queries to Indri search engine to retrieve relevant passages. Finally, a multi-document summarization system (MEAD) is used to generate the output document with a limit of 500 words. The preliminary results show that the approach does not work well where our run was ranked 22nd out of 24 runs. We discuss our observations for these results and some further possible improvements.