We describe the participation of the University of Amsterdam's ILPS group in the Question Answering track of the TAC 2008. We used a simple system based on lexicon-based identification of opinionated sentences and the answer extraction module of our factual question answering system. The results indicate that filtering out sentences that are unlikely to contain opinions does improve the end-to-end performance of the system.
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