Abstract

We examine the effects of expanding a judged set of sentences with their duplicates from a corpus. Including new sentences that are exact duplicates of the previously judged sentences may allow for better estimation of performance metrics and enhance the reusability of a test collection. We perform experiments in context of the Temporal Summarization Track at TREC 2013. We find that adding duplicate sentences to the judged set does not significantly affect relative system performance. However, we do find statistically significant changes in the performance of nearly half the systems that participated in the Track. We recommend adding exact duplicate sentences to the set of relevance judgements in order to obtain a more accurate estimate of system performance.

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