Entity-based cross-document coreferencing using the Vector Space Model
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We describe experiments for the cross-document coreference task in SemEval 2007. Our cross-document coreference system uses an in-house agglomerative clustering implementation to group documents referring to the same entity. Clustering uses vector representations created by summarization and semantic tagging analysis components. We present evaluation results for four system configurations demonstrating the potential of the applied techniques.