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The Impact of database size on Coverage@500 metric. It is worth noting that database of different size is randomly sampled, i.e., smaller database may not be completely contained by a larger database
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We study the problem of coarse-grained response selection in retrieval-based dialogue systems. The problem is equally important with fine-grained response selection, but is less explored in existing literature. In this paper, we propose a Contextual Fine-to-Coarse (CFC) distilled model for coarse-grained response selection in open-domain conversati...
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... discuss the impact of the size of candidate database on the performance of the model. For different candidate database size (from one million to ten million), we compare the Coverage@500 metric of BM25-QS, BE-QS, and CFC-BE-QS on the MC test set of Reddit (Figure 3). It can be seen that Coverage@500 shows a slow downward trend as the database size increases. ...
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